term paper on wireless technology

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Study and Investigation on 5G Technology: A Systematic Review

Ramraj dangi.

1 School of Computing Science and Engineering, VIT University Bhopal, Bhopal 466114, India; [email protected] (R.D.); [email protected] (P.L.)

Praveen Lalwani

Gaurav choudhary.

2 Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800 Lyngby, Denmark; moc.liamg@7777yrahduohcvaruag

3 Department of Information Security Engineering, Soonchunhyang University, Asan-si 31538, Korea

Giovanni Pau

4 Faculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, Italy; [email protected]

Associated Data

Not applicable.

In wireless communication, Fifth Generation (5G) Technology is a recent generation of mobile networks. In this paper, evaluations in the field of mobile communication technology are presented. In each evolution, multiple challenges were faced that were captured with the help of next-generation mobile networks. Among all the previously existing mobile networks, 5G provides a high-speed internet facility, anytime, anywhere, for everyone. 5G is slightly different due to its novel features such as interconnecting people, controlling devices, objects, and machines. 5G mobile system will bring diverse levels of performance and capability, which will serve as new user experiences and connect new enterprises. Therefore, it is essential to know where the enterprise can utilize the benefits of 5G. In this research article, it was observed that extensive research and analysis unfolds different aspects, namely, millimeter wave (mmWave), massive multiple-input and multiple-output (Massive-MIMO), small cell, mobile edge computing (MEC), beamforming, different antenna technology, etc. This article’s main aim is to highlight some of the most recent enhancements made towards the 5G mobile system and discuss its future research objectives.

1. Introduction

Most recently, in three decades, rapid growth was marked in the field of wireless communication concerning the transition of 1G to 4G [ 1 , 2 ]. The main motto behind this research was the requirements of high bandwidth and very low latency. 5G provides a high data rate, improved quality of service (QoS), low-latency, high coverage, high reliability, and economically affordable services. 5G delivers services categorized into three categories: (1) Extreme mobile broadband (eMBB). It is a nonstandalone architecture that offers high-speed internet connectivity, greater bandwidth, moderate latency, UltraHD streaming videos, virtual reality and augmented reality (AR/VR) media, and many more. (2) Massive machine type communication (eMTC), 3GPP releases it in its 13th specification. It provides long-range and broadband machine-type communication at a very cost-effective price with less power consumption. eMTC brings a high data rate service, low power, extended coverage via less device complexity through mobile carriers for IoT applications. (3) ultra-reliable low latency communication (URLLC) offers low-latency and ultra-high reliability, rich quality of service (QoS), which is not possible with traditional mobile network architecture. URLLC is designed for on-demand real-time interaction such as remote surgery, vehicle to vehicle (V2V) communication, industry 4.0, smart grids, intelligent transport system, etc. [ 3 ].

1.1. Evolution from 1G to 5G

First generation (1G): 1G cell phone was launched between the 1970s and 80s, based on analog technology, which works just like a landline phone. It suffers in various ways, such as poor battery life, voice quality, and dropped calls. In 1G, the maximum achievable speed was 2.4 Kbps.

Second Generation (2G): In 2G, the first digital system was offered in 1991, providing improved mobile voice communication over 1G. In addition, Code-Division Multiple Access (CDMA) and Global System for Mobile (GSM) concepts were also discussed. In 2G, the maximum achievable speed was 1 Mpbs.

Third Generation (3G): When technology ventured from 2G GSM frameworks into 3G universal mobile telecommunication system (UMTS) framework, users encountered higher system speed and quicker download speed making constant video calls. 3G was the first mobile broadband system that was formed to provide the voice with some multimedia. The technology behind 3G was high-speed packet access (HSPA/HSPA+). 3G used MIMO for multiplying the power of the wireless network, and it also used packet switching for fast data transmission.

Fourth Generation (4G): It is purely mobile broadband standard. In digital mobile communication, it was observed information rate that upgraded from 20 to 60 Mbps in 4G [ 4 ]. It works on LTE and WiMAX technologies, as well as provides wider bandwidth up to 100 Mhz. It was launched in 2010.

Fourth Generation LTE-A (4.5G): It is an advanced version of standard 4G LTE. LTE-A uses MIMO technology to combine multiple antennas for both transmitters as well as a receiver. Using MIMO, multiple signals and multiple antennas can work simultaneously, making LTE-A three times faster than standard 4G. LTE-A offered an improved system limit, decreased deferral in the application server, access triple traffic (Data, Voice, and Video) wirelessly at any time anywhere in the world.LTE-A delivers speeds of over 42 Mbps and up to 90 Mbps.

Fifth Generation (5G): 5G is a pillar of digital transformation; it is a real improvement on all the previous mobile generation networks. 5G brings three different services for end user like Extreme mobile broadband (eMBB). It offers high-speed internet connectivity, greater bandwidth, moderate latency, UltraHD streaming videos, virtual reality and augmented reality (AR/VR) media, and many more. Massive machine type communication (eMTC), it provides long-range and broadband machine-type communication at a very cost-effective price with less power consumption. eMTC brings a high data rate service, low power, extended coverage via less device complexity through mobile carriers for IoT applications. Ultra-reliable low latency communication (URLLC) offers low-latency and ultra-high reliability, rich quality of service (QoS), which is not possible with traditional mobile network architecture. URLLC is designed for on-demand real-time interaction such as remote surgery, vehicle to vehicle (V2V) communication, industry 4.0, smart grids, intelligent transport system, etc. 5G faster than 4G and offers remote-controlled operation over a reliable network with zero delays. It provides down-link maximum throughput of up to 20 Gbps. In addition, 5G also supports 4G WWWW (4th Generation World Wide Wireless Web) [ 5 ] and is based on Internet protocol version 6 (IPv6) protocol. 5G provides unlimited internet connection at your convenience, anytime, anywhere with extremely high speed, high throughput, low-latency, higher reliability and scalability, and energy-efficient mobile communication technology [ 6 ]. 5G mainly divided in two parts 6 GHz 5G and Millimeter wave(mmWave) 5G.

6 GHz is a mid frequency band which works as a mid point between capacity and coverage to offer perfect environment for 5G connectivity. 6 GHz spectrum will provide high bandwidth with improved network performance. It offers continuous channels that will reduce the need for network densification when mid-band spectrum is not available and it makes 5G connectivity affordable at anytime, anywhere for everyone.

mmWave is an essential technology of 5G network which build high performance network. 5G mmWave offer diverse services that is why all network providers should add on this technology in their 5G deployment planning. There are lots of service providers who deployed 5G mmWave, and their simulation result shows that 5G mmwave is a far less used spectrum. It provides very high speed wireless communication and it also offers ultra-wide bandwidth for next generation mobile network.

The evolution of wireless mobile technologies are presented in Table 1 . The abbreviations used in this paper are mentioned in Table 2 .

Summary of Mobile Technology.

Table of Notations and Abbreviations.

1.2. Key Contributions

The objective of this survey is to provide a detailed guide of 5G key technologies, methods to researchers, and to help with understanding how the recent works addressed 5G problems and developed solutions to tackle the 5G challenges; i.e., what are new methods that must be applied and how can they solve problems? Highlights of the research article are as follows.

• This survey focused on the recent trends and development in the era of 5G and novel contributions by the researcher community and discussed technical details on essential aspects of the 5G advancement.
• In this paper, the evolution of the mobile network from 1G to 5G is presented. In addition, the growth of mobile communication under different attributes is also discussed.
• This paper covers the emerging applications and research groups working on 5G & different research areas in 5G wireless communication network with a descriptive taxonomy.
• This survey discusses the current vision of the 5G networks, advantages, applications, key technologies, and key features. Furthermore, machine learning prospects are also explored with the emerging requirements in the 5G era. The article also focused on technical aspects of 5G IoT Based approaches and optimization techniques for 5G.
• we provide an extensive overview and recent advancement of emerging technologies of 5G mobile network, namely, MIMO, Non-Orthogonal Multiple Access (NOMA), mmWave, Internet of Things (IoT), Machine Learning (ML), and optimization. Also, a technical summary is discussed by highlighting the context of current approaches and corresponding challenges.
• Security challenges and considerations while developing 5G technology are discussed.
• Finally, the paper concludes with the future directives.

The existing survey focused on architecture, key concepts, and implementation challenges and issues. In contrast, this survey covers the state-of-the-art techniques as well as corresponding recent novel developments by researchers. Various recent significant papers are discussed with the key technologies accelerating the development and production of 5G products.

2. Existing Surveys and Their Applicability

In this paper, a detailed survey on various technologies of 5G networks is presented. Various researchers have worked on different technologies of 5G networks. In this section, Table 3 gives a tabular representation of existing surveys of 5G networks. Massive MIMO, NOMA, small cell, mmWave, beamforming, and MEC are the six main pillars that helped to implement 5G networks in real life.

A comparative overview of existing surveys on different technologies of 5G networks.

2.1. Limitations of Existing Surveys

The existing survey focused on architecture, key concepts, and implementation challenges and issues. The numerous current surveys focused on various 5G technologies with different parameters, and the authors did not cover all the technologies of the 5G network in detail with challenges and recent advancements. Few authors worked on MIMO (Non-Orthogonal Multiple Access) NOMA, MEC, small cell technologies. In contrast, some others worked on beamforming, Millimeter-wave (mmWave). But the existing survey did not cover all the technologies of the 5G network from a research and advancement perspective. No detailed survey is available in the market covering all the 5G network technologies and currently published research trade-offs. So, our main aim is to give a detailed study of all the technologies working on the 5G network. In contrast, this survey covers the state-of-the-art techniques as well as corresponding recent novel developments by researchers. Various recent significant papers are discussed with the key technologies accelerating the development and production of 5G products. This survey article collected key information about 5G technology and recent advancements, and it can be a kind of a guide for the reader. This survey provides an umbrella approach to bring multiple solutions and recent improvements in a single place to accelerate the 5G research with the latest key enabling solutions and reviews. A systematic layout representation of the survey in Figure 1 . We provide a state-of-the-art comparative overview of the existing surveys on different technologies of 5G networks in Table 3 .

Systematic layout representation of survey.

2.2. Article Organization

This article is organized under the following sections. Section 2 presents existing surveys and their applicability. In Section 3 , the preliminaries of 5G technology are presented. In Section 4 , recent advances of 5G technology based on Massive MIMO, NOMA, Millimeter Wave, 5G with IoT, machine learning for 5G, and Optimization in 5G are provided. In Section 5 , a description of novel 5G features over 4G is provided. Section 6 covered all the security concerns of the 5G network. Section 7 , 5G technology based on above-stated challenges summarize in tabular form. Finally, Section 8 and Section 9 conclude the study, which paves the path for future research.

3. Preliminary Section

3.1. emerging 5g paradigms and its features.

5G provides very high speed, low latency, and highly salable connectivity between multiple devices and IoT worldwide. 5G will provide a very flexible model to develop a modern generation of applications and industry goals [ 26 , 27 ]. There are many services offered by 5G network architecture are stated below:

Massive machine to machine communications: 5G offers novel, massive machine-to-machine communications [ 28 ], also known as the IoT [ 29 ], that provide connectivity between lots of machines without any involvement of humans. This service enhances the applications of 5G and provides connectivity between agriculture, construction, and industries [ 30 ].

Ultra-reliable low latency communications (URLLC): This service offers real-time management of machines, high-speed vehicle-to-vehicle connectivity, industrial connectivity and security principles, and highly secure transport system, and multiple autonomous actions. Low latency communications also clear up a different area where remote medical care, procedures, and operation are all achievable [ 31 ].

Enhanced mobile broadband: Enhance mobile broadband is an important use case of 5G system, which uses massive MIMO antenna, mmWave, beamforming techniques to offer very high-speed connectivity across a wide range of areas [ 32 ].

For communities: 5G provides a very flexible internet connection between lots of machines to make smart homes, smart schools, smart laboratories, safer and smart automobiles, and good health care centers [ 33 ].

For businesses and industry: As 5G works on higher spectrum ranges from 24 to 100 GHz. This higher frequency range provides secure low latency communication and high-speed wireless connectivity between IoT devices and industry 4.0, which opens a market for end-users to enhance their business models [ 34 ].

New and Emerging technologies: As 5G came up with many new technologies like beamforming, massive MIMO, mmWave, small cell, NOMA, MEC, and network slicing, it introduced many new features to the market. Like virtual reality (VR), users can experience the physical presence of people who are millions of kilometers away from them. Many new technologies like smart homes, smart workplaces, smart schools, smart sports academy also came into the market with this 5G Mobile network model [ 35 ].

3.2. Commercial Service Providers of 5G

5G provides high-speed internet browsing, streaming, and downloading with very high reliability and low latency. 5G network will change your working style, and it will increase new business opportunities and provide innovations that we cannot imagine. This section covers top service providers of 5G network [ 36 , 37 ].

Ericsson: Ericsson is a Swedish multinational networking and telecommunications company, investing around 25.62 billion USD in 5G network, which makes it the biggest telecommunication company. It claims that it is the only company working on all the continents to make the 5G network a global standard for the next generation wireless communication. Ericsson developed the first 5G radio prototype that enables the operators to set up the live field trials in their network, which helps operators understand how 5G reacts. It plays a vital role in the development of 5G hardware. It currently provides 5G services in over 27 countries with content providers like China Mobile, GCI, LGU+, AT&T, Rogers, and many more. It has 100 commercial agreements with different operators as of 2020.

Verizon: It is American multinational telecommunication which was founded in 1983. Verizon started offering 5G services in April 2020, and by December 2020, it has actively provided 5G services in 30 cities of the USA. They planned that by the end of 2021, they would deploy 5G in 30 more new cities. Verizon deployed a 5G network on mmWave, a very high band spectrum between 30 to 300 GHz. As it is a significantly less used spectrum, it provides very high-speed wireless communication. MmWave offers ultra-wide bandwidth for next-generation mobile networks. MmWave is a faster and high-band spectrum that has a limited range. Verizon planned to increase its number of 5G cells by 500% by 2020. Verizon also has an ultra wide-band flagship 5G service which is the best 5G service that increases the market price of Verizon.

Nokia: Nokia is a Finnish multinational telecommunications company which was founded in 1865. Nokia is one of the companies which adopted 5G technology very early. It is developing, researching, and building partnerships with various 5G renders to offer 5G communication as soon as possible. Nokia collaborated with Deutsche Telekom and Hamburg Port Authority and provided them 8000-hectare site for their 5G MoNArch project. Nokia is the only company that supplies 5G technology to all the operators of different countries like AT&T, Sprint, T-Mobile US and Verizon in the USA, Korea Telecom, LG U+ and SK Telecom in South Korea and NTT DOCOMO, KDDI, and SoftBank in Japan. Presently, Nokia has around 150+ agreements and 29 live networks all over the world. Nokia is continuously working hard on 5G technology to expand 5G networks all over the globe.

AT&T: AT&T is an American multinational company that was the first to deploy a 5G network in reality in 2018. They built a gigabit 5G network connection in Waco, TX, Kalamazoo, MI, and South Bend to achieve this. It is the first company that archives 1–2 gigabit per second speed in 2019. AT&T claims that it provides a 5G network connection among 225 million people worldwide by using a 6 GHz spectrum band.

T-Mobile: T-Mobile US (TMUS) is an American wireless network operator which was the first service provider that offers a real 5G nationwide network. The company knew that high-band 5G was not feasible nationwide, so they used a 600 MHz spectrum to build a significant portion of its 5G network. TMUS is planning that by 2024 they will double the total capacity and triple the full 5G capacity of T-Mobile and Sprint combined. The sprint buyout is helping T-Mobile move forward the company’s current market price to 129.98 USD.

Samsung: Samsung started their research in 5G technology in 2011. In 2013, Samsung successfully developed the world’s first adaptive array transceiver technology operating in the millimeter-wave Ka bands for cellular communications. Samsung provides several hundred times faster data transmission than standard 4G for core 5G mobile communication systems. The company achieved a lot of success in the next generation of technology, and it is considered one of the leading companies in the 5G domain.

Qualcomm: Qualcomm is an American multinational corporation in San Diego, California. It is also one of the leading company which is working on 5G chip. Qualcomm’s first 5G modem chip was announced in October 2016, and a prototype was demonstrated in October 2017. Qualcomm mainly focuses on building products while other companies talk about 5G; Qualcomm is building the technologies. According to one magazine, Qualcomm was working on three main areas of 5G networks. Firstly, radios that would use bandwidth from any network it has access to; secondly, creating more extensive ranges of spectrum by combining smaller pieces; and thirdly, a set of services for internet applications.

ZTE Corporation: ZTE Corporation was founded in 1985. It is a partially Chinese state-owned technology company that works in telecommunication. It was a leading company that worked on 4G LTE, and it is still maintaining its value and doing research and tests on 5G. It is the first company that proposed Pre5G technology with some series of solutions.

NEC Corporation: NEC Corporation is a Japanese multinational information technology and electronics corporation headquartered in Minato, Tokyo. ZTE also started their research on 5G, and they introduced a new business concept. NEC’s main aim is to develop 5G NR for the global mobile system and create secure and intelligent technologies to realize 5G services.

Cisco: Cisco is a USA networking hardware company that also sleeves up for 5G network. Cisco’s primary focus is to support 5G in three ways: Service—enable 5G services faster so all service providers can increase their business. Infrastructure—build 5G-oriented infrastructure to implement 5G more quickly. Automation—make a more scalable, flexible, and reliable 5G network. The companies know the importance of 5G, and they want to connect more than 30 billion devices in the next couple of years. Cisco intends to work on network hardening as it is a vital part of 5G network. Cisco used AI with deep learning to develop a 5G Security Architecture, enabling Secure Network Transformation.

3.3. 5G Research Groups

Many research groups from all over the world are working on a 5G wireless mobile network [ 38 ]. These groups are continuously working on various aspects of 5G. The list of those research groups are presented as follows: 5GNOW (5th Generation Non-Orthogonal Waveform for Asynchronous Signaling), NEWCOM (Network of Excellence in Wireless Communication), 5GIC (5G Innovation Center), NYU (New York University) Wireless, 5GPPP (5G Infrastructure Public-Private Partnership), EMPHATIC (Enhanced Multi-carrier Technology for Professional Adhoc and Cell-Based Communication), ETRI(Electronics and Telecommunication Research Institute), METIS (Mobile and wireless communication Enablers for the Twenty-twenty Information Society) [ 39 ]. The various research groups along with the research area are presented in Table 4 .

Research groups working on 5G mobile networks.

3.4. 5G Applications

5G is faster than 4G and offers remote-controlled operation over a reliable network with zero delays. It provides down-link maximum throughput of up to 20 Gbps. In addition, 5G also supports 4G WWWW (4th Generation World Wide Wireless Web) [ 5 ] and is based on Internet protocol version 6 (IPv6) protocol. 5G provides unlimited internet connection at your convenience, anytime, anywhere with extremely high speed, high throughput, low-latency, higher reliability, greater scalablility, and energy-efficient mobile communication technology [ 6 ].

There are lots of applications of 5G mobile network are as follows:

• High-speed mobile network: 5G is an advancement on all the previous mobile network technologies, which offers very high speed downloading speeds 0 of up to 10 to 20 Gbps. The 5G wireless network works as a fiber optic internet connection. 5G is different from all the conventional mobile transmission technologies, and it offers both voice and high-speed data connectivity efficiently. 5G offers very low latency communication of less than a millisecond, useful for autonomous driving and mission-critical applications. 5G will use millimeter waves for data transmission, providing higher bandwidth and a massive data rate than lower LTE bands. As 5 Gis a fast mobile network technology, it will enable virtual access to high processing power and secure and safe access to cloud services and enterprise applications. Small cell is one of the best features of 5G, which brings lots of advantages like high coverage, high-speed data transfer, power saving, easy and fast cloud access, etc. [ 40 ].
• Entertainment and multimedia: In one analysis in 2015, it was found that more than 50 percent of mobile internet traffic was used for video downloading. This trend will surely increase in the future, which will make video streaming more common. 5G will offer High-speed streaming of 4K videos with crystal clear audio, and it will make a high definition virtual world on your mobile. 5G will benefit the entertainment industry as it offers 120 frames per second with high resolution and higher dynamic range video streaming, and HD TV channels can also be accessed on mobile devices without any interruptions. 5G provides low latency high definition communication so augmented reality (AR), and virtual reality (VR) will be very easily implemented in the future. Virtual reality games are trendy these days, and many companies are investing in HD virtual reality games. The 5G network will offer high-speed internet connectivity with a better gaming experience [ 41 ].
• Smart homes : smart home appliances and products are in demand these days. The 5G network makes smart homes more real as it offers high-speed connectivity and monitoring of smart appliances. Smart home appliances are easily accessed and configured from remote locations using the 5G network as it offers very high-speed low latency communication.
• Smart cities: 5G wireless network also helps develop smart cities applications such as automatic traffic management, weather update, local area broadcasting, energy-saving, efficient power supply, smart lighting system, water resource management, crowd management, emergency control, etc.
• Industrial IoT: 5G wireless technology will provide lots of features for future industries such as safety, process tracking, smart packing, shipping, energy efficiency, automation of equipment, predictive maintenance, and logistics. 5G smart sensor technology also offers smarter, safer, cost-effective, and energy-saving industrial IoT operations.
• Smart Farming: 5G technology will play a crucial role in agriculture and smart farming. 5G sensors and GPS technology will help farmers track live attacks on crops and manage them quickly. These smart sensors can also be used for irrigation, pest, insect, and electricity control.
• Autonomous Driving: The 5G wireless network offers very low latency high-speed communication, significant for autonomous driving. It means self-driving cars will come to real life soon with 5G wireless networks. Using 5G autonomous cars can easily communicate with smart traffic signs, objects, and other vehicles running on the road. 5G’s low latency feature makes self-driving more real as every millisecond is essential for autonomous vehicles, decision-making is done in microseconds to avoid accidents.
• Healthcare and mission-critical applications: 5G technology will bring modernization in medicine where doctors and practitioners can perform advanced medical procedures. The 5G network will provide connectivity between all classrooms, so attending seminars and lectures will be easier. Through 5G technology, patients can connect with doctors and take their advice. Scientists are building smart medical devices which can help people with chronic medical conditions. The 5G network will boost the healthcare industry with smart devices, the internet of medical things, smart sensors, HD medical imaging technologies, and smart analytics systems. 5G will help access cloud storage, so accessing healthcare data will be very easy from any location worldwide. Doctors and medical practitioners can easily store and share large files like MRI reports within seconds using the 5G network.
• Satellite Internet: In many remote areas, ground base stations are not available, so 5G will play a crucial role in providing connectivity in such areas. The 5G network will provide connectivity using satellite systems, and the satellite system uses a constellation of multiple small satellites to provide connectivity in urban and rural areas across the world.

4. 5G Technologies

This section describes recent advances of 5G Massive MIMO, 5G NOMA, 5G millimeter wave, 5G IOT, 5G with machine learning, and 5G optimization-based approaches. In addition, the summary is also presented in each subsection that paves the researchers for the future research direction.

4.1. 5G Massive MIMO

Multiple-input-multiple-out (MIMO) is a very important technology for wireless systems. It is used for sending and receiving multiple signals simultaneously over the same radio channel. MIMO plays a very big role in WI-FI, 3G, 4G, and 4G LTE-A networks. MIMO is mainly used to achieve high spectral efficiency and energy efficiency but it was not up to the mark MIMO provides low throughput and very low reliable connectivity. To resolve this, lots of MIMO technology like single user MIMO (SU-MIMO), multiuser MIMO (MU-MIMO) and network MIMO were used. However, these new MIMO also did not still fulfill the demand of end users. Massive MIMO is an advancement of MIMO technology used in the 5G network in which hundreds and thousands of antennas are attached with base stations to increase throughput and spectral efficiency. Multiple transmit and receive antennas are used in massive MIMO to increase the transmission rate and spectral efficiency. When multiple UEs generate downlink traffic simultaneously, massive MIMO gains higher capacity. Massive MIMO uses extra antennas to move energy into smaller regions of space to increase spectral efficiency and throughput [ 43 ]. In traditional systems data collection from smart sensors is a complex task as it increases latency, reduced data rate and reduced reliability. While massive MIMO with beamforming and huge multiplexing techniques can sense data from different sensors with low latency, high data rate and higher reliability. Massive MIMO will help in transmitting the data in real-time collected from different sensors to central monitoring locations for smart sensor applications like self-driving cars, healthcare centers, smart grids, smart cities, smart highways, smart homes, and smart enterprises [ 44 ].

Highlights of 5G Massive MIMO technology are as follows:

• Data rate: Massive MIMO is advised as the one of the dominant technologies to provide wireless high speed and high data rate in the gigabits per seconds.
• The relationship between wave frequency and antenna size: Both are inversely proportional to each other. It means lower frequency signals need a bigger antenna and vise versa.

Pictorial representation of multi-input and multi-output (MIMO).

• MIMO role in 5G: Massive MIMO will play a crucial role in the deployment of future 5G mobile communication as greater spectral and energy efficiency could be enabled.

State-of-the-Art Approaches

Plenty of approaches were proposed to resolve the issues of conventional MIMO [ 7 ].

The MIMO multirate, feed-forward controller is suggested by Mae et al. [ 46 ]. In the simulation, the proposed model generates the smooth control input, unlike the conventional MIMO, which generates oscillated control inputs. It also outperformed concerning the error rate. However, a combination of multirate and single rate can be used for better results.

The performance of stand-alone MIMO, distributed MIMO with and without corporation MIMO, was investigated by Panzner et al. [ 47 ]. In addition, an idea about the integration of large scale in the 5G technology was also presented. In the experimental analysis, different MIMO configurations are considered. The variation in the ratio of overall transmit antennas to spatial is deemed step-wise from equality to ten.

The simulation of massive MIMO noncooperative and cooperative systems for down-link behavior was performed by He et al. [ 48 ]. It depends on present LTE systems, which deal with various antennas in the base station set-up. It was observed that collaboration in different BS improves the system behaviors, whereas throughput is reduced slightly in this approach. However, a new method can be developed which can enhance both system behavior and throughput.

In [ 8 ], different approaches that increased the energy efficiency benefits provided by massive MIMO were presented. They analyzed the massive MIMO technology and described the detailed design of the energy consumption model for massive MIMO systems. This article has explored several techniques to enhance massive MIMO systems’ energy efficiency (EE) gains. This paper reviews standard EE-maximization approaches for the conventional massive MIMO systems, namely, scaling number of antennas, real-time implementing low-complexity operations at the base station (BS), power amplifier losses minimization, and radio frequency (RF) chain minimization requirements. In addition, open research direction is also identified.

In [ 49 ], various existing approaches based on different antenna selection and scheduling, user selection and scheduling, and joint antenna and user scheduling methods adopted in massive MIMO systems are presented in this paper. The objective of this survey article was to make awareness about the current research and future research direction in MIMO for systems. They analyzed that complete utilization of resources and bandwidth was the most crucial factor which enhances the sum rate.

In [ 50 ], authors discussed the development of various techniques for pilot contamination. To calculate the impact of pilot contamination in time division duplex (TDD) massive MIMO system, TDD and frequency division duplexing FDD patterns in massive MIMO techniques are used. They discussed different issues in pilot contamination in TDD massive MIMO systems with all the possible future directions of research. They also classified various techniques to generate the channel information for both pilot-based and subspace-based approaches.

In [ 19 ], the authors defined the uplink and downlink services for a massive MIMO system. In addition, it maintains a performance matrix that measures the impact of pilot contamination on different performances. They also examined the various application of massive MIMO such as small cells, orthogonal frequency-division multiplexing (OFDM) schemes, massive MIMO IEEE 802, 3rd generation partnership project (3GPP) specifications, and higher frequency bands. They considered their research work crucial for cutting edge massive MIMO and covered many issues like system throughput performance and channel state acquisition at higher frequencies.

In [ 13 ], various approaches were suggested for MIMO future generation wireless communication. They made a comparative study based on performance indicators such as peak data rate, energy efficiency, latency, throughput, etc. The key findings of this survey are as follows: (1) spatial multiplexing improves the energy efficiency; (2) design of MIMO play a vital role in the enhancement of throughput; (3) enhancement of mMIMO focusing on energy & spectral performance; (4) discussed the future challenges to improve the system design.

In [ 51 ], the study of large-scale MIMO systems for an energy-efficient system sharing method was presented. For the resource allocation, circuit energy and transmit energy expenditures were taken into consideration. In addition, the optimization techniques were applied for an energy-efficient resource sharing system to enlarge the energy efficiency for individual QoS and energy constraints. The author also examined the BS configuration, which includes homogeneous and heterogeneous UEs. While simulating, they discussed that the total number of transmit antennas plays a vital role in boosting energy efficiency. They highlighted that the highest energy efficiency was obtained when the BS was set up with 100 antennas that serve 20 UEs.

This section includes various works done on 5G MIMO technology by different author’s. Table 5 shows how different author’s worked on improvement of various parameters such as throughput, latency, energy efficiency, and spectral efficiency with 5G MIMO technology.

Summary of massive MIMO-based approaches in 5G technology.

4.2. 5G Non-Orthogonal Multiple Access (NOMA)

NOMA is a very important radio access technology used in next generation wireless communication. Compared to previous orthogonal multiple access techniques, NOMA offers lots of benefits like high spectrum efficiency, low latency with high reliability and high speed massive connectivity. NOMA mainly works on a baseline to serve multiple users with the same resources in terms of time, space and frequency. NOMA is mainly divided into two main categories one is code domain NOMA and another is power domain NOMA. Code-domain NOMA can improve the spectral efficiency of mMIMO, which improves the connectivity in 5G wireless communication. Code-domain NOMA was divided into some more multiple access techniques like sparse code multiple access, lattice-partition multiple access, multi-user shared access and pattern-division multiple access [ 52 ]. Power-domain NOMA is widely used in 5G wireless networks as it performs well with various wireless communication techniques such as MIMO, beamforming, space-time coding, network coding, full-duplex and cooperative communication etc. [ 53 ]. The conventional orthogonal frequency-division multiple access (OFDMA) used by 3GPP in 4G LTE network provides very low spectral efficiency when bandwidth resources are allocated to users with low channel state information (CSI). NOMA resolved this issue as it enables users to access all the subcarrier channels so bandwidth resources allocated to the users with low CSI can still be accessed by the users with strong CSI which increases the spectral efficiency. The 5G network will support heterogeneous architecture in which small cell and macro base stations work for spectrum sharing. NOMA is a key technology of the 5G wireless system which is very helpful for heterogeneous networks as multiple users can share their data in a small cell using the NOMA principle.The NOMA is helpful in various applications like ultra-dense networks (UDN), machine to machine (M2M) communication and massive machine type communication (mMTC). As NOMA provides lots of features it has some challenges too such as NOMA needs huge computational power for a large number of users at high data rates to run the SIC algorithms. Second, when users are moving from the networks, to manage power allocation optimization is a challenging task for NOMA [ 54 ]. Hybrid NOMA (HNOMA) is a combination of power-domain and code-domain NOMA. HNOMA uses both power differences and orthogonal resources for transmission among multiple users. As HNOMA is using both power-domain NOMA and code-domain NOMA it can achieve higher spectral efficiency than Power-domain NOMA and code-domain NOMA. In HNOMA multiple groups can simultaneously transmit signals at the same time. It uses a message passing algorithm (MPA) and successive interference cancellation (SIC)-based detection at the base station for these groups [ 55 ].

Highlights of 5G NOMA technology as follows:

Pictorial representation of orthogonal and Non-Orthogonal Multiple Access (NOMA).

• NOMA provides higher data rates and resolves all the loop holes of OMA that makes 5G mobile network more scalable and reliable.
• As multiple users use same frequency band simultaneously it increases the performance of whole network.
• To setup intracell and intercell interference NOMA provides nonorthogonal transmission on the transmitter end.
• The primary fundamental of NOMA is to improve the spectrum efficiency by strengthening the ramification of receiver.

State-of-the-Art of Approaches

A plenty of approaches were developed to address the various issues in NOMA.

A novel approach to address the multiple receiving signals at the same frequency is proposed in [ 22 ]. In NOMA, multiple users use the same sub-carrier, which improves the fairness and throughput of the system. As a nonorthogonal method is used among multiple users, at the time of retrieving the user’s signal at the receiver’s end, joint processing is required. They proposed solutions to optimize the receiver and the radio resource allocation of uplink NOMA. Firstly, the authors proposed an iterative MUDD which utilizes the information produced by the channel decoder to improve the performance of the multiuser detector. After that, the author suggested a power allocation and novel subcarrier that enhances the users’ weighted sum rate for the NOMA scheme. Their proposed model showed that NOMA performed well as compared to OFDM in terms of fairness and efficiency.

In [ 53 ], the author’s reviewed a power-domain NOMA that uses superposition coding (SC) and successive interference cancellation (SIC) at the transmitter and the receiver end. Lots of analyses were held that described that NOMA effectively satisfies user data rate demands and network-level of 5G technologies. The paper presented a complete review of recent advances in the 5G NOMA system. It showed the comparative analysis regarding allocation procedures, user fairness, state-of-the-art efficiency evaluation, user pairing pattern, etc. The study also analyzes NOMA’s behavior when working with other wireless communication techniques, namely, beamforming, MIMO, cooperative connections, network, space-time coding, etc.

In [ 9 ], the authors proposed NOMA with MEC, which improves the QoS as well as reduces the latency of the 5G wireless network. This model increases the uplink NOMA by decreasing the user’s uplink energy consumption. They formulated an optimized NOMA framework that reduces the energy consumption of MEC by using computing and communication resource allocation, user clustering, and transmit powers.

In [ 10 ], the authors proposed a model which investigates outage probability under average channel state information CSI and data rate in full CSI to resolve the problem of optimal power allocation, which increase the NOMA downlink system among users. They developed simple low-complexity algorithms to provide the optimal solution. The obtained simulation results showed NOMA’s efficiency, achieving higher performance fairness compared to the TDMA configurations. It was observed from the results that NOMA, through the appropriate power amplifiers (PA), ensures the high-performance fairness requirement for the future 5G wireless communication networks.

In [ 56 ], researchers discussed that the NOMA technology and waveform modulation techniques had been used in the 5G mobile network. Therefore, this research gave a detailed survey of non-orthogonal waveform modulation techniques and NOMA schemes for next-generation mobile networks. By analyzing and comparing multiple access technologies, they considered the future evolution of these technologies for 5G mobile communication.

In [ 57 ], the authors surveyed non-orthogonal multiple access (NOMA) from the development phase to the recent developments. They have also compared NOMA techniques with traditional OMA techniques concerning information theory. The author discussed the NOMA schemes categorically as power and code domain, including the design principles, operating principles, and features. Comparison is based upon the system’s performance, spectral efficiency, and the receiver’s complexity. Also discussed are the future challenges, open issues, and their expectations of NOMA and how it will support the key requirements of 5G mobile communication systems with massive connectivity and low latency.

In [ 17 ], authors present the first review of an elementary NOMA model with two users, which clarify its central precepts. After that, a general design with multicarrier supports with a random number of users on each sub-carrier is analyzed. In performance evaluation with the existing approaches, resource sharing and multiple-input multiple-output NOMA are examined. Furthermore, they took the key elements of NOMA and its potential research demands. Finally, they reviewed the two-user SC-NOMA design and a multi-user MC-NOMA design to highlight NOMA’s basic approaches and conventions. They also present the research study about the performance examination, resource assignment, and MIMO in NOMA.

In this section, various works by different authors done on 5G NOMA technology is covered. Table 6 shows how other authors worked on the improvement of various parameters such as spectral efficiency, fairness, and computing capacity with 5G NOMA technology.

Summary of NOMA-based approaches in 5G technology.

4.3. 5G Millimeter Wave (mmWave)

Millimeter wave is an extremely high frequency band, which is very useful for 5G wireless networks. MmWave uses 30 GHz to 300 GHz spectrum band for transmission. The frequency band between 30 GHz to 300 GHz is known as mmWave because these waves have wavelengths between 1 to 10 mm. Till now radar systems and satellites are only using mmWave as these are very fast frequency bands which provide very high speed wireless communication. Many mobile network providers also started mmWave for transmitting data between base stations. Using two ways the speed of data transmission can be improved one is by increasing spectrum utilization and second is by increasing spectrum bandwidth. Out of these two approaches increasing bandwidth is quite easy and better. The frequency band below 5 GHz is very crowded as many technologies are using it so to boost up the data transmission rate 5G wireless network uses mmWave technology which instead of increasing spectrum utilization, increases the spectrum bandwidth [ 58 ]. To maximize the signal bandwidth in wireless communication the carrier frequency should also be increased by 5% because the signal bandwidth is directly proportional to carrier frequencies. The frequency band between 28 GHz to 60 GHz is very useful for 5G wireless communication as 28 GHz frequency band offers up to 1 GHz spectrum bandwidth and 60 GHz frequency band offers 2 GHz spectrum bandwidth. 4G LTE provides 2 GHz carrier frequency which offers only 100 MHz spectrum bandwidth. However, the use of mmWave increases the spectrum bandwidth 10 times, which leads to better transmission speeds [ 59 , 60 ].

Highlights of 5G mmWave are as follows:

Pictorial representation of millimeter wave.

• The 5G mmWave offer three advantages: (1) MmWave is very less used new Band, (2) MmWave signals carry more data than lower frequency wave, and (3) MmWave can be incorporated with MIMO antenna with the potential to offer a higher magnitude capacity compared to current communication systems.

In [ 11 ], the authors presented the survey of mmWave communications for 5G. The advantage of mmWave communications is adaptability, i.e., it supports the architectures and protocols up-gradation, which consists of integrated circuits, systems, etc. The authors over-viewed the present solutions and examined them concerning effectiveness, performance, and complexity. They also discussed the open research issues of mmWave communications in 5G concerning the software-defined network (SDN) architecture, network state information, efficient regulation techniques, and the heterogeneous system.

In [ 61 ], the authors present the recent work done by investigators in 5G; they discussed the design issues and demands of mmWave 5G antennas for cellular handsets. After that, they designed a small size and low-profile 60 GHz array of antenna units that contain 3D planer mesh-grid antenna elements. For the future prospect, a framework is designed in which antenna components are used to operate cellular handsets on mmWave 5G smartphones. In addition, they cross-checked the mesh-grid array of antennas with the polarized beam for upcoming hardware challenges.

In [ 12 ], the authors considered the suitability of the mmWave band for 5G cellular systems. They suggested a resource allocation system for concurrent D2D communications in mmWave 5G cellular systems, and it improves network efficiency and maintains network connectivity. This research article can serve as guidance for simulating D2D communications in mmWave 5G cellular systems. Massive mmWave BS may be set up to obtain a high delivery rate and aggregate efficiency. Therefore, many wireless users can hand off frequently between the mmWave base terminals, and it emerges the demand to search the neighbor having better network connectivity.

In [ 62 ], the authors provided a brief description of the cellular spectrum which ranges from 1 GHz to 3 GHz and is very crowed. In addition, they presented various noteworthy factors to set up mmWave communications in 5G, namely, channel characteristics regarding mmWave signal attenuation due to free space propagation, atmospheric gaseous, and rain. In addition, hybrid beamforming architecture in the mmWave technique is analyzed. They also suggested methods for the blockage effect in mmWave communications due to penetration damage. Finally, the authors have studied designing the mmWave transmission with small beams in nonorthogonal device-to-device communication.

This section covered various works done on 5G mmWave technology. The Table 7 shows how different author’s worked on the improvement of various parameters i.e., transmission rate, coverage, and cost, with 5G mmWave technology.

Summary of existing mmWave-based approaches in 5G technology.

4.4. 5G IoT Based Approaches

The 5G mobile network plays a big role in developing the Internet of Things (IoT). IoT will connect lots of things with the internet like appliances, sensors, devices, objects, and applications. These applications will collect lots of data from different devices and sensors. 5G will provide very high speed internet connectivity for data collection, transmission, control, and processing. 5G is a flexible network with unused spectrum availability and it offers very low cost deployment that is why it is the most efficient technology for IoT [ 63 ]. In many areas, 5G provides benefits to IoT, and below are some examples:

Smart homes: smart home appliances and products are in demand these days. The 5G network makes smart homes more real as it offers high speed connectivity and monitoring of smart appliances. Smart home appliances are easily accessed and configured from remote locations using the 5G network, as it offers very high speed low latency communication.

Smart cities: 5G wireless network also helps in developing smart cities applications such as automatic traffic management, weather update, local area broadcasting, energy saving, efficient power supply, smart lighting system, water resource management, crowd management, emergency control, etc.

Industrial IoT: 5G wireless technology will provide lots of features for future industries such as safety, process tracking, smart packing, shipping, energy efficiency, automation of equipment, predictive maintenance and logistics. 5G smart sensor technology also offers smarter, safer, cost effective, and energy-saving industrial operation for industrial IoT.

Smart Farming: 5G technology will play a crucial role for agriculture and smart farming. 5G sensors and GPS technology will help farmers to track live attacks on crops and manage them quickly. These smart sensors can also be used for irrigation control, pest control, insect control, and electricity control.

Autonomous Driving: 5G wireless network offers very low latency high speed communication which is very significant for autonomous driving. It means self-driving cars will come to real life soon with 5G wireless networks. Using 5G autonomous cars can easily communicate with smart traffic signs, objects and other vehicles running on the road. 5G’s low latency feature makes self-driving more real as every millisecond is important for autonomous vehicles, decision taking is performed in microseconds to avoid accidents [ 64 ].

Highlights of 5G IoT are as follows:

Pictorial representation of IoT with 5G.

• 5G with IoT is a new feature of next-generation mobile communication, which provides a high-speed internet connection between moderated devices. 5G IoT also offers smart homes, smart devices, sensors, smart transportation systems, smart industries, etc., for end-users to make them smarter.
• IoT deals with moderate devices which connect through the internet. The approach of the IoT has made the consideration of the research associated with the outcome of providing wearable, smart-phones, sensors, smart transportation systems, smart devices, washing machines, tablets, etc., and these diverse systems are associated to a common interface with the intelligence to connect.
• Significant IoT applications include private healthcare systems, traffic management, industrial management, and tactile internet, etc.

Plenty of approaches is devised to address the issues of IoT [ 14 , 65 , 66 ].

In [ 65 ], the paper focuses on 5G mobile systems due to the emerging trends and developing technologies, which results in the exponential traffic growth in IoT. The author surveyed the challenges and demands during deployment of the massive IoT applications with the main focus on mobile networking. The author reviewed the features of standard IoT infrastructure, along with the cellular-based, low-power wide-area technologies (LPWA) such as eMTC, extended coverage (EC)-GSM-IoT, as well as noncellular, low-power wide-area (LPWA) technologies such as SigFox, LoRa etc.

In [ 14 ], the authors presented how 5G technology copes with the various issues of IoT today. It provides a brief review of existing and forming 5G architectures. The survey indicates the role of 5G in the foundation of the IoT ecosystem. IoT and 5G can easily combine with improved wireless technologies to set up the same ecosystem that can fulfill the current requirement for IoT devices. 5G can alter nature and will help to expand the development of IoT devices. As the process of 5G unfolds, global associations will find essentials for setting up a cross-industry engagement in determining and enlarging the 5G system.

In [ 66 ], the author introduced an IoT authentication scheme in a 5G network, with more excellent reliability and dynamic. The scheme proposed a privacy-protected procedure for selecting slices; it provided an additional fog node for proper data transmission and service types of the subscribers, along with service-oriented authentication and key understanding to maintain the secrecy, precision of users, and confidentiality of service factors. Users anonymously identify the IoT servers and develop a vital channel for service accessibility and data cached on local fog nodes and remote IoT servers. The author performed a simulation to manifest the security and privacy preservation of the user over the network.

This section covered various works done on 5G IoT by multiple authors. Table 8 shows how different author’s worked on the improvement of numerous parameters, i.e., data rate, security requirement, and performance with 5G IoT.

Summary of IoT-based approaches in 5G technology.

4.5. Machine Learning Techniques for 5G

Various machine learning (ML) techniques were applied in 5G networks and mobile communication. It provides a solution to multiple complex problems, which requires a lot of hand-tuning. ML techniques can be broadly classified as supervised, unsupervised, and reinforcement learning. Let’s discuss each learning technique separately and where it impacts the 5G network.

Supervised Learning, where user works with labeled data; some 5G network problems can be further categorized as classification and regression problems. Some regression problems such as scheduling nodes in 5G and energy availability can be predicted using Linear Regression (LR) algorithm. To accurately predict the bandwidth and frequency allocation Statistical Logistic Regression (SLR) is applied. Some supervised classifiers are applied to predict the network demand and allocate network resources based on the connectivity performance; it signifies the topology setup and bit rates. Support Vector Machine (SVM) and NN-based approximation algorithms are used for channel learning based on observable channel state information. Deep Neural Network (DNN) is also employed to extract solutions for predicting beamforming vectors at the BS’s by taking mapping functions and uplink pilot signals into considerations.

In unsupervised Learning, where the user works with unlabeled data, various clustering techniques are applied to enhance network performance and connectivity without interruptions. K-means clustering reduces the data travel by storing data centers content into clusters. It optimizes the handover estimation based on mobility pattern and selection of relay nodes in the V2V network. Hierarchical clustering reduces network failure by detecting the intrusion in the mobile wireless network; unsupervised soft clustering helps in reducing latency by clustering fog nodes. The nonparametric Bayesian unsupervised learning technique reduces traffic in the network by actively serving the user’s requests and demands. Other unsupervised learning techniques such as Adversarial Auto Encoders (AAE) and Affinity Propagation Clustering techniques detect irregular behavior in the wireless spectrum and manage resources for ultradense small cells, respectively.

In case of an uncertain environment in the 5G wireless network, reinforcement learning (RL) techniques are employed to solve some problems. Actor-critic reinforcement learning is used for user scheduling and resource allocation in the network. Markov decision process (MDP) and Partially Observable MDP (POMDP) is used for Quality of Experience (QoE)-based handover decision-making for Hetnets. Controls packet call admission in HetNets and channel access process for secondary users in a Cognitive Radio Network (CRN). Deep RL is applied to decide the communication channel and mobility and speeds up the secondary user’s learning rate using an antijamming strategy. Deep RL is employed in various 5G network application parameters such as resource allocation and security [ 67 ]. Table 9 shows the state-of-the-art ML-based solution for 5G network.

The state-of-the-art ML-based solution for 5G network.

Highlights of machine learning techniques for 5G are as follows:

Pictorial representation of machine learning (ML) in 5G.

• In ML, a model will be defined which fulfills the desired requirements through which desired results are obtained. In the later stage, it examines accuracy from obtained results.
• ML plays a vital role in 5G network analysis for threat detection, network load prediction, final arrangement, and network formation. Searching for a better balance between power, length of antennas, area, and network thickness crossed with the spontaneous use of services in the universe of individual users and types of devices.

In [ 79 ], author’s firstly describes the demands for the traditional authentication procedures and benefits of intelligent authentication. The intelligent authentication method was established to improve security practice in 5G-and-beyond wireless communication systems. Thereafter, the machine learning paradigms for intelligent authentication were organized into parametric and non-parametric research methods, as well as supervised, unsupervised, and reinforcement learning approaches. As a outcome, machine learning techniques provide a new paradigm into authentication under diverse network conditions and unstable dynamics. In addition, prompt intelligence to the security management to obtain cost-effective, better reliable, model-free, continuous, and situation-aware authentication.

In [ 68 ], the authors proposed a machine learning-based model to predict the traffic load at a particular location. They used a mobile network traffic dataset to train a model that can calculate the total number of user requests at a time. To launch access and mobility management function (AMF) instances according to the requirement as there were no predictions of user request the performance automatically degrade as AMF does not handle these requests at a time. Earlier threshold-based techniques were used to predict the traffic load, but that approach took too much time; therefore, the authors proposed RNN algorithm-based ML to predict the traffic load, which gives efficient results.

In [ 15 ], authors discussed the issue of network slice admission, resource allocation among subscribers, and how to maximize the profit of infrastructure providers. The author proposed a network slice admission control algorithm based on SMDP (decision-making process) that guarantees the subscribers’ best acceptance policies and satisfiability (tenants). They also suggested novel N3AC, a neural network-based algorithm that optimizes performance under various configurations, significantly outperforms practical and straightforward approaches.

This section includes various works done on 5G ML by different authors. Table 10 shows the state-of-the-art work on the improvement of various parameters such as energy efficiency, Quality of Services (QoS), and latency with 5G ML.

The state-of-the-art ML-based approaches in 5G technology.

4.6. Optimization Techniques for 5G

Optimization techniques may be applied to capture NP-Complete or NP-Hard problems in 5G technology. This section briefly describes various research works suggested for 5G technology based on optimization techniques.

In [ 80 ], Massive MIMO technology is used in 5G mobile network to make it more flexible and scalable. The MIMO implementation in 5G needs a significant number of radio frequencies is required in the RF circuit that increases the cost and energy consumption of the 5G network. This paper provides a solution that increases the cost efficiency and energy efficiency with many radio frequency chains for a 5G wireless communication network. They give an optimized energy efficient technique for MIMO antenna and mmWave technologies based 5G mobile communication network. The proposed Energy Efficient Hybrid Precoding (EEHP) algorithm to increase the energy efficiency for the 5G wireless network. This algorithm minimizes the cost of an RF circuit with a large number of RF chains.

In [ 16 ], authors have discussed the growing demand for energy efficiency in the next-generation networks. In the last decade, they have figured out the things in wireless transmissions, which proved a change towards pursuing green communication for the next generation system. The importance of adopting the correct EE metric was also reviewed. Further, they worked through the different approaches that can be applied in the future for increasing the network’s energy and posed a summary of the work that was completed previously to enhance the energy productivity of the network using these capabilities. A system design for EE development using relay selection was also characterized, along with an observation of distinct algorithms applied for EE in relay-based ecosystems.

In [ 81 ], authors presented how AI-based approach is used to the setup of Self Organizing Network (SON) functionalities for radio access network (RAN) design and optimization. They used a machine learning approach to predict the results for 5G SON functionalities. Firstly, the input was taken from various sources; then, prediction and clustering-based machine learning models were applied to produce the results. Multiple AI-based devices were used to extract the knowledge analysis to execute SON functionalities smoothly. Based on results, they tested how self-optimization, self-testing, and self-designing are done for SON. The author also describes how the proposed mechanism classifies in different orders.

In [ 82 ], investigators examined the working of OFDM in various channel environments. They also figured out the changes in frame duration of the 5G TDD frame design. Subcarrier spacing is beneficial to obtain a small frame length with control overhead. They provided various techniques to reduce the growing guard period (GP) and cyclic prefix (CP) like complete utilization of multiple subcarrier spacing, management and data parts of frame at receiver end, various uses of timing advance (TA) or total control of flexible CP size.

This section includes various works that were done on 5G optimization by different authors. Table 11 shows how other authors worked on the improvement of multiple parameters such as energy efficiency, power optimization, and latency with 5G optimization.

Summary of Optimization Based Approaches in 5G Technology.

5. Description of Novel 5G Features over 4G

This section presents descriptions of various novel features of 5G, namely, the concept of small cell, beamforming, and MEC.

5.1. Small Cell

Small cells are low-powered cellular radio access nodes which work in the range of 10 meters to a few kilometers. Small cells play a very important role in implementation of the 5G wireless network. Small cells are low power base stations which cover small areas. Small cells are quite similar with all the previous cells used in various wireless networks. However, these cells have some advantages like they can work with low power and they are also capable of working with high data rates. Small cells help in rollout of 5G network with ultra high speed and low latency communication. Small cells in the 5G network use some new technologies like MIMO, beamforming, and mmWave for high speed data transmission. The design of small cells hardware is very simple so its implementation is quite easier and faster. There are three types of small cell tower available in the market. Femtocells, picocells, and microcells [ 83 ]. As shown in the Table 12 .

Types of Small cells.

MmWave is a very high band spectrum between 30 to 300 GHz. As it is a significantly less used spectrum, it provides very high-speed wireless communication. MmWave offers ultra-wide bandwidth for next-generation mobile networks. MmWave has lots of advantages, but it has some disadvantages, too, such as mmWave signals are very high-frequency signals, so they have more collision with obstacles in the air which cause the signals loses energy quickly. Buildings and trees also block MmWave signals, so these signals cover a shorter distance. To resolve these issues, multiple small cell stations are installed to cover the gap between end-user and base station [ 18 ]. Small cell covers a very shorter range, so the installation of a small cell depends on the population of a particular area. Generally, in a populated place, the distance between each small cell varies from 10 to 90 meters. In the survey [ 20 ], various authors implemented small cells with massive MIMO simultaneously. They also reviewed multiple technologies used in 5G like beamforming, small cell, massive MIMO, NOMA, device to device (D2D) communication. Various problems like interference management, spectral efficiency, resource management, energy efficiency, and backhauling are discussed. The author also gave a detailed presentation of all the issues occurring while implementing small cells with various 5G technologies. As shown in the Figure 7 , mmWave has a higher range, so it can be easily blocked by the obstacles as shown in Figure 7 a. This is one of the key concerns of millimeter-wave signal transmission. To solve this issue, the small cell can be placed at a short distance to transmit the signals easily, as shown in Figure 7 b.

Pictorial representation of communication with and without small cells.

5.2. Beamforming

Beamforming is a key technology of wireless networks which transmits the signals in a directional manner. 5G beamforming making a strong wireless connection toward a receiving end. In conventional systems when small cells are not using beamforming, moving signals to particular areas is quite difficult. Beamforming counter this issue using beamforming small cells are able to transmit the signals in particular direction towards a device like mobile phone, laptops, autonomous vehicle and IoT devices. Beamforming is improving the efficiency and saves the energy of the 5G network. Beamforming is broadly divided into three categories: Digital beamforming, analog beamforming and hybrid beamforming. Digital beamforming: multiuser MIMO is equal to digital beamforming which is mainly used in LTE Advanced Pro and in 5G NR. In digital beamforming the same frequency or time resources can be used to transmit the data to multiple users at the same time which improves the cell capacity of wireless networks. Analog Beamforming: In mmWave frequency range 5G NR analog beamforming is a very important approach which improves the coverage. In digital beamforming there are chances of high pathloss in mmWave as only one beam per set of antenna is formed. While the analog beamforming saves high pathloss in mmWave. Hybrid beamforming: hybrid beamforming is a combination of both analog beamforming and digital beamforming. In the implementation of MmWave in 5G network hybrid beamforming will be used [ 84 ].

Wireless signals in the 4G network are spreading in large areas, and nature is not Omnidirectional. Thus, energy depletes rapidly, and users who are accessing these signals also face interference problems. The beamforming technique is used in the 5G network to resolve this issue. In beamforming signals are directional. They move like a laser beam from the base station to the user, so signals seem to be traveling in an invisible cable. Beamforming helps achieve a faster data rate; as the signals are directional, it leads to less energy consumption and less interference. In [ 21 ], investigators evolve some techniques which reduce interference and increase system efficiency of the 5G mobile network. In this survey article, the authors covered various challenges faced while designing an optimized beamforming algorithm. Mainly focused on different design parameters such as performance evaluation and power consumption. In addition, they also described various issues related to beamforming like CSI, computation complexity, and antenna correlation. They also covered various research to cover how beamforming helps implement MIMO in next-generation mobile networks [ 85 ]. Figure 8 shows the pictorial representation of communication with and without using beamforming.

Pictorial Representation of communication with and without using beamforming.

5.3. Mobile Edge Computing

Mobile Edge Computing (MEC) [ 24 ]: MEC is an extended version of cloud computing that brings cloud resources closer to the end-user. When we talk about computing, the very first thing that comes to our mind is cloud computing. Cloud computing is a very famous technology that offers many services to end-user. Still, cloud computing has many drawbacks. The services available in the cloud are too far from end-users that create latency, and cloud user needs to download the complete application before use, which also increases the burden to the device [ 86 ]. MEC creates an edge between the end-user and cloud server, bringing cloud computing closer to the end-user. Now, all the services, namely, video conferencing, virtual software, etc., are offered by this edge that improves cloud computing performance. Another essential feature of MEC is that the application is split into two parts, which, first one is available at cloud server, and the second is at the user’s device. Therefore, the user need not download the complete application on his device that increases the performance of the end user’s device. Furthermore, MEC provides cloud services at very low latency and less bandwidth. In [ 23 , 87 ], the author’s investigation proved that successful deployment of MEC in 5G network increases the overall performance of 5G architecture. Graphical differentiation between cloud computing and mobile edge computing is presented in Figure 9 .

Pictorial representation of cloud computing vs. mobile edge computing.

6. 5G Security

Security is the key feature in the telecommunication network industry, which is necessary at various layers, to handle 5G network security in applications such as IoT, Digital forensics, IDS and many more [ 88 , 89 ]. The authors [ 90 ], discussed the background of 5G and its security concerns, challenges and future directions. The author also introduced the blockchain technology that can be incorporated with the IoT to overcome the challenges in IoT. The paper aims to create a security framework which can be incorporated with the LTE advanced network, and effective in terms of cost, deployment and QoS. In [ 91 ], author surveyed various form of attacks, the security challenges, security solutions with respect to the affected technology such as SDN, Network function virtualization (NFV), Mobile Clouds and MEC, and security standardizations of 5G, i.e., 3GPP, 5GPPP, Internet Engineering Task Force (IETF), Next Generation Mobile Networks (NGMN), European Telecommunications Standards Institute (ETSI). In [ 92 ], author elaborated various technological aspects, security issues and their existing solutions and also mentioned the new emerging technological paradigms for 5G security such as blockchain, quantum cryptography, AI, SDN, CPS, MEC, D2D. The author aims to create new security frameworks for 5G for further use of this technology in development of smart cities, transportation and healthcare. In [ 93 ], author analyzed the threats and dark threat, security aspects concerned with SDN and NFV, also their Commercial & Industrial Security Corporation (CISCO) 5G vision and new security innovations with respect to the new evolving architectures of 5G [ 94 ].

AuthenticationThe identification of the user in any network is made with the help of authentication. The different mobile network generations from 1G to 5G have used multiple techniques for user authentication. 5G utilizes the 5G Authentication and Key Agreement (AKA) authentication method, which shares a cryptographic key between user equipment (UE) and its home network and establishes a mutual authentication process between the both [ 95 ].

Access Control To restrict the accessibility in the network, 5G supports access control mechanisms to provide a secure and safe environment to the users and is controlled by network providers. 5G uses simple public key infrastructure (PKI) certificates for authenticating access in the 5G network. PKI put forward a secure and dynamic environment for the 5G network. The simple PKI technique provides flexibility to the 5G network; it can scale up and scale down as per the user traffic in the network [ 96 , 97 ].

Communication Security 5G deals to provide high data bandwidth, low latency, and better signal coverage. Therefore secure communication is the key concern in the 5G network. UE, mobile operators, core network, and access networks are the main focal point for the attackers in 5G communication. Some of the common attacks in communication at various segments are Botnet, message insertion, micro-cell, distributed denial of service (DDoS), and transport layer security (TLS)/secure sockets layer (SSL) attacks [ 98 , 99 ].

Encryption The confidentiality of the user and the network is done using encryption techniques. As 5G offers multiple services, end-to-end (E2E) encryption is the most suitable technique applied over various segments in the 5G network. Encryption forbids unauthorized access to the network and maintains the data privacy of the user. To encrypt the radio traffic at Packet Data Convergence Protocol (PDCP) layer, three 128-bits keys are applied at the user plane, nonaccess stratum (NAS), and access stratum (AS) [ 100 ].

7. Summary of 5G Technology Based on Above-Stated Challenges

In this section, various issues addressed by investigators in 5G technologies are presented in Table 13 . In addition, different parameters are considered, such as throughput, latency, energy efficiency, data rate, spectral efficiency, fairness & computing capacity, transmission rate, coverage, cost, security requirement, performance, QoS, power optimization, etc., indexed from R1 to R14.

Summary of 5G Technology above stated challenges (R1:Throughput, R2:Latency, R3:Energy Efficiency, R4:Data Rate, R5:Spectral efficiency, R6:Fairness & Computing Capacity, R7:Transmission Rate, R8:Coverage, R9:Cost, R10:Security requirement, R11:Performance, R12:Quality of Services (QoS), R13:Power Optimization).

8. Conclusions

This survey article illustrates the emergence of 5G, its evolution from 1G to 5G mobile network, applications, different research groups, their work, and the key features of 5G. It is not just a mobile broadband network, different from all the previous mobile network generations; it offers services like IoT, V2X, and Industry 4.0. This paper covers a detailed survey from multiple authors on different technologies in 5G, such as massive MIMO, Non-Orthogonal Multiple Access (NOMA), millimeter wave, small cell, MEC (Mobile Edge Computing), beamforming, optimization, and machine learning in 5G. After each section, a tabular comparison covers all the state-of-the-research held in these technologies. This survey also shows the importance of these newly added technologies and building a flexible, scalable, and reliable 5G network.

9. Future Findings

This article covers a detailed survey on the 5G mobile network and its features. These features make 5G more reliable, scalable, efficient at affordable rates. As discussed in the above sections, numerous technical challenges originate while implementing those features or providing services over a 5G mobile network. So, for future research directions, the research community can overcome these challenges while implementing these technologies (MIMO, NOMA, small cell, mmWave, beam-forming, MEC) over a 5G network. 5G communication will bring new improvements over the existing systems. Still, the current solutions cannot fulfill the autonomous system and future intelligence engineering requirements after a decade. There is no matter of discussion that 5G will provide better QoS and new features than 4G. But there is always room for improvement as the considerable growth of centralized data and autonomous industry 5G wireless networks will not be capable of fulfilling their demands in the future. So, we need to move on new wireless network technology that is named 6G. 6G wireless network will bring new heights in mobile generations, as it includes (i) massive human-to-machine communication, (ii) ubiquitous connectivity between the local device and cloud server, (iii) creation of data fusion technology for various mixed reality experiences and multiverps maps. (iv) Focus on sensing and actuation to control the network of the entire world. The 6G mobile network will offer new services with some other technologies; these services are 3D mapping, reality devices, smart homes, smart wearable, autonomous vehicles, artificial intelligence, and sense. It is expected that 6G will provide ultra-long-range communication with a very low latency of 1 ms. The per-user bit rate in a 6G wireless network will be approximately 1 Tbps, and it will also provide wireless communication, which is 1000 times faster than 5G networks.

Acknowledgments

Author contributions.

Conceptualization: R.D., I.Y., G.C., P.L. data gathering: R.D., G.C., P.L, I.Y. funding acquisition: I.Y. investigation: I.Y., G.C., G.P. methodology: R.D., I.Y., G.C., P.L., G.P., survey: I.Y., G.C., P.L, G.P., R.D. supervision: G.C., I.Y., G.P. validation: I.Y., G.P. visualization: R.D., I.Y., G.C., P.L. writing, original draft: R.D., I.Y., G.C., P.L., G.P. writing, review, and editing: I.Y., G.C., G.P. All authors have read and agreed to the published version of the manuscript.

This paper was supported by Soonchunhyang University.

Institutional Review Board Statement

Informed consent statement, data availability statement, conflicts of interest.

The authors declare no conflict of interest.

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Emerging 5G Wireless Technologies: Overview, Evolution, and Applications

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The fifth-generation (5G) of wireless network technology is a high-speed network. The aim of 5G technologies is the connection of different devices and machines with strong improvements in terms of high service features, increased network capability, and superior system throughput to support several vertical applications. 5G is a rapidly evolving technology that permits smart devices, such as Android mobile devices, to run artificial intelligence (AI)-based software applications. Other emerging technologies, such as autonomous driving, which rely heavily on network communications, will benefit as well. The technical background and 5G key technologies, as well as their development, emerging technology, requirements, and applications, are briefly discussed in this review.

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Raychaudhuri, D., Gerla, M.: Emerging Wireless Technologies and the Future Mobile Internet. Cambridge University Press (2011)

Google Scholar  

Chen, J.I.Z.: 5G systems with low density parity check based channel coding for enhanced mobile broadband scheme. IRO J. Sustain. Wireless Syst. 2 (1), 42–49 (2020)

Article   Google Scholar  

Agiwal, M., Roy, A., Saxena, N.: Next generation 5G wireless networks: a comprehensive survey. IEEE Commun. Surv. Tutor. 18 (3), 1617–1655 (2016)

Wang, N., Wang, P., Alipour-Fanid, A., Jiao, L., Zeng, K.: Physical-layer security of 5G wireless networks for IoT: challenges and opportunities. IEEE Internet Things J. 6 (5), 8169–8181 (2019)

Wong, V.W., Schober, R., Ng, D.W.K., Wang, L.-C.: Key Technologies for 5G Wireless Systems. Cambridge University Press (2017)

Gupta, A., Jha, R.K.: A survey of 5G network: architecture and emerging technologies. IEEE Access 3 , 1206–1232 (2015)

Wang, C.-X., Haider, F., Gao, X., You, X.-H., Yang, Y., Yuan, D., et al.: Cellular architecture and key technologies for 5G wireless communication networks. IEEE Commun. Mag. 52 (2), 122–130 (2014)

Hou, G., Chen, L.: D2D communication mode selection and resource allocation in 5G wireless networks. Comput. Commun. 155 , 244–251 (2020)

Duong, T.Q., Kundu, C., Masaracchia, A., Nguyen, V.-D.: Reliable communication for emerging wireless networks. Mob. Netw. Appl. 25 (1), 271–273 (2020)

Challa, N.R., Bagadi, K.: Design of massive multiuser MIMO system to mitigate inter antenna interference and multiuser interference in 5G wireless networks. J. Commun. 15 (9), 693–701 (2020)

Ahmed, A.H., Al-Heety, A.T., Al-Khateeb, B., Mohammed, A.H.: Energy efficiency in 5G massive MIMO for mobile wireless network. In: 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), pp. 1–6. IEEE (2020)

Saxena, N., Kumbhar, F.H., Roy, A.: Exploiting social relationships for trustworthy D2D relay in 5G cellular networks. IEEE Commun. Mag. 58 (2), 48–53 (2020)

Rodriguez, J.: Fundamentals of 5G Mobile Networks. Wiley (2015)

Kaur, P., Garg, R.: A survey on key enabling technologies towards 5G. IOP Conf. Ser. Mater. Sci. Eng. IOP Publishing 012011 (2021)

Forge, S., Vu, K.: Forming a 5G strategy for developing countries: a note for policy makers. Telecommun. Policy 44 (7), 101975 (2020)

Kabalci, Y.: 5G mobile communication systems: fundamentals, challenges, and key technologies. In: Smart Grids and Their Communication Systems, pp. 329–359. Springer (2019)

Smys, S., Wang, H., Basar, A.: 5G network simulation in smart cities using neural network algorithm. J. Artif. Intell. 3 (01), 43–52 (2021)

Jiang, Y.: Economic development of smart city industry based on 5G network and wireless sensors. Microprocess. Microsyst. 80 , 103563 (2021)

Pastor, G., Mutafungwa, E., Costa-Requena, J., Li, X., El Marai, O., Saba, N., et al.: Qualifying 5G SA for L4 automated vehicles in a multi-PLMN experimental testbed. In: 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), pp. 1–3. IEEE (2021)

Latif, S., Qadir, J., Farooq, S., Imran, M.A.: How 5G wireless (and concomitant technologies) will revolutionize healthcare? Future Internet 9 (4), 93 (2017)

Tang, Y., Dananjayan, S., Hou, C., Guo, Q., Luo, S., He, Y.: A survey on the 5G network and its impact on agriculture: challenges and opportunities. Comput. Electron. Agric. 180 , 105895 (2021)

Shakya, S., Pulchowk, L.N., Smys, S.: Anomalies detection in fog computing architectures using deep learning. J. Trends Comput. Sci. Smart Technol. 2 (1), 46–55 (2020)

Simkó, M., Mattsson, M.-O.: 5G wireless communication and health effects—a pragmatic review based on available studies regarding 6 to 100 GHz. Int. J. Environ. Res. Public Health 16 (18), 3406 (2019)

Russell, C.L.: 5G wireless telecommunications expansion: public health and environmental implications. Environ. Res. 165 , 484–495 (2018)

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Malini, M.C., Chandrakala, N. (2022). Emerging 5G Wireless Technologies: Overview, Evolution, and Applications. In: Suma, V., Fernando, X., Du, KL., Wang, H. (eds) Evolutionary Computing and Mobile Sustainable Networks. Lecture Notes on Data Engineering and Communications Technologies, vol 116. Springer, Singapore. https://doi.org/10.1007/978-981-16-9605-3_23

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What is 5G?

Fifth time’s the charm: 5G—or fifth-generation wireless technology— is powering the Fourth Industrial Revolution . Sure, 5G is faster than 4G. But 5G is more than just (a lot) faster: the connectivity made possible with 5G is significantly more secure and more stable than its predecessors. Plus, 5G enables data to travel from one place to another with a significantly shorter delay between data submission and arrival—this delay is known as latency.

Here are a few big numbers from the International Telecommunications Union . 5G networks aim to deliver:

• 1,000 times higher mobile data volume per area
• 100 times the number of connected devices
• 100 times higher user data rate
• ten times longer battery life for low-power massive-machine communications
• five times reduced end-to-end latency

Here’s how it works: like all cellular networks, the service area of 5G networks is divided into geographic sub-areas called cells. Each cell has local antennae, through which all wireless devices in the cell are connected to the internet and telephone network via radio waves. To achieve its very high speeds, 5G utilizes low- and midbands on the radio spectrum  (below six gigahertz), as well as whole new bands of the radio spectrum . These are so-called “millimeter waves,” broadcast at frequencies between 30 and 300 gigahertz, which have previously been used only for communication between satellites and radar systems.

Cell phone companies began deploying 5G in 2019. In the United States, 5G coverage is already available in many areas . And, while previous generation 2G and 3G technology is still in use, 5G adoption is accelerating: according to various predictions, 5G networks will have billions of subscribers by 2025.

But 5G can do more than enable faster loading of cat videos. This new speed and responsiveness—and the connectivity solutions it makes possible—is poised to transform a wide variety of industries.

Learn more about our Technology, Media & Telecommunications Practice .

How will 5G be used?

To date, 5G will enable four key use-case archetypes , which will require 5G to deliver on its promise of evolutionary change in network performance. They are:

• Enhanced mobile broadband . The faster speed, lower latency, and greater capacity 5G makes possible could enable on-the-go, ultra-high-definition video, virtual reality, and other advanced applications.
• Internet of Things (IoT) . Existing cellular networks are not able to keep up with the explosive growth in the number of connected devices, from smart refrigerators to devices monitoring battery levels on manufacturing shop floors. 5G will unlock the potential of IoT by enabling exponentially more connections at very low power.
• Mission-critical control . Connected devices are increasingly used in applications that require absolute reliability, such as vehicle safety systems or medical devices. 5G’s lower latency and higher resiliency mean that these time-critical applications will be increasingly reliable.
• Fixed wireless access . The speeds made possible by 5G make it a viable alternative to wired broadband in many markets, particularly those without fiber optics.

How might 5G and other advanced technologies impact the world?

If 5G is deployed across just four commercial domains—mobility, healthcare, manufacturing, and retail—it could boost global GDP by up to $2 trillion by 2030. Most of this value will be captured with creative applications of advanced connectivity.

Here are the four commercial domains with some of the largest potential to capture higher revenues or cost efficiencies:

• Connectivity will be the foundation for increasingly intelligent mobility systems, including carsharing services, public transit, infrastructure, hardware and software, and more. Connectivity could create new revenue streams through preventive maintenance, improved navigation and carpooling services, and personalized “infotainment” offerings.
• Devices and advanced networks with improved connectivity could transform the healthcare industry. Seamless data flow and low-latency networks could mean better robotic surgery. AI-powered decision support tools can make faster and more accurate diagnoses, as well as automate tasks so that caregivers can spend more time with patients. McKinsey analysis estimates that these use cases together could generate up to $420 billion in global GDP impact by 2030 .
• Low-latency and private 5G networks can power highly precise operations in manufacturing and other advanced industries . Smart factories powered by AI , analytics, and advanced robotics can run at maximum efficiency, optimizing and adjusting processes in real time. New features like automated guided vehicles and computer-vision-enhanced bin picking and quality control require the kind of speed and latency provided by high-band 5G. By 2030, the GDP impact in manufacturing could reach up to $650 billion .
• Retailers can use technology like sensors, trackers, and computer vision to manage inventories, improve warehouse operations, and coordinate along the supply chain. Use cases like connectivity-enhanced in-store experiences and real-time personalized recommendations could boost global GDP up to $700 billion by 2030 .

The use cases identified in these commercial domains alone could boost global GDP by up to $2 trillion by 2030 . The value at stake could ultimately run trillions of dollars higher across the entire global economy.

Beyond industry, 5G connectivity has important implications for society. Enabling more people to plug into global flows of information, communication, and services could add another $1.5 trillion to $2 trillion to GDP . This stands to unlock greater human potential and prosperity, particularly in developing nations .

Learn more about our Technology, Media & Telecommunications  Practice.

What are advanced connectivity and frontier connectivity?

Advanced connectivity is propelled by the continued evolution  of existing connectivity technologies, as networks are built out and adoption grows. For instance, providers are upgrading existing 4G infrastructure with 5G network overlays, which generally offer improvements in speed and latency while supporting a greater density of connected devices. At the same time, land-based fiber optic networks continue to expand, enabling faster data connections all over the world.

Introducing McKinsey Explainers : Direct answers to complex questions

On the other hand, frontier technologies like millimeter-wave 5G and low-earth-orbit satellite constellations offer a more radical leap forward . Millimeter-wave 5G is the ultra-fast mobile option, but comes with significant deployment challenges. Low-earth-orbit (LEO) satellites could deliver a breakthrough in breadth of coverage. LEO satellites work by beaming broadband down from space, bringing coverage to remote parts of the world where physical internet infrastructure doesn’t make sense for a variety of reasons. Despite the promise of LEO technology, challenges do remain, and no commercial services are yet available.

How are telecommunications players grappling with the transition to 5G?

5G promises better connectivity for consumers and organizations. Network providers, on the other hand, are resigned  to higher costs to deploy 5G infrastructure before they can reap the benefits. This cycle has happened before: with the advent of 4G, telcos in Europe and Latin America reported decreased revenues.

Given these realities, telecommunications players are working to develop their 5G investment strategies . In order to achieve the speed, latency, and reliability required by most advanced applications, network providers will need to invest in all network domains, including spectrum, radio access network infrastructure, transmission, and core networks. More specifically, operators will increasingly share more parts of the network, including towers, backhaul, and even spectrum and radio access, through so-called MOCN (Multi-Operator Core Network) or MORAN (Multi-Operator Radio Access Network) deals. This is a 5G-specific way for operators to cope with higher investment burdens at flat revenues.

Some good news: 5G technology is largely built on 4G networks, which means that mobile operators can simply evolve their infrastructure investment  rather than start from scratch. For instance, operators could begin by upgrading the capacity of their existing 4G network by refarming a portion of their 2G and 3G spectrum, thereby delaying investments in 5G. This would allow operators to minimize investments while the revenue potential of 5G remains uncertain.

How will telecommunications players monetize 5G in the B2C market?

The rise of 5G also presents an opportunity for telecommunications players to shift their customer engagement. As they reckon with the costs of 5G, they also must reimagine how to charge customers for 5G . The B2B 5G revolution is already under way; in the B2C market, the value proposition of 5G is less clear. That’s because there is no 5G use case compelling enough, at the present time, to transform the lives of people not heavily invested in gaming, for instance.

But despite the uncertainty, McKinsey has charted a clear path  for telecommunications organizations to monetize 5G in the B2C sector. There are three models telcos might pursue, which could increase average revenue per user by up to 20 percent:

• Impulse purchases and “business class” plans . 5G technology will allow telcos to move away from standard monthly subscriptions toward flexible plans that allow for customers to upgrade network performance when and where they feel the urge. Business class plans could feature premium network conditions at all times. According to McKinsey analysis, 7 percent of customers  are already ready to use 5G boosters, and would use them an average of seven times per month if each boost cost $1.
• Selling 5G-enabled experiences . The speeds and latency of 5G make possible streamlined and seamless experiences such as multiplayer cloud gaming, real-time translation, and augmented reality (AR) sports streaming. McKinsey research shows that customers are willing to pay  for these 5G-enabled experiential use cases, and more.
• Using partnerships to deliver 5G-enabled experiences . When assessing customer willingness to pay for 5G cloud gaming, McKinsey analysis showed that 74 percent of customers  would prefer buying a 5G service straight from the game app rather than from their mobile provider. To create a seamless experience for customers, telcos could embed 5G connectivity directly into their partners’ apps or devices. This could greatly expand telecommunications organizations’ customer base.

How has COVID-19 impacted connectivity IoT?

For one thing, the pandemic has created the need for applications with the advanced connectivity that only 5G can provide. Among other things, 5G enables the types of applications that help leaders understand whether their workforces are safe and which devices have been connected to the network and by whom.

Advanced connectivity technologies like 5G also stand to enable remote healthcare , although, ironically, the pandemic has also eaten up the resources necessary to create the infrastructure to implement it.

During the pandemic, Industry 4.0 frontrunners have done very well. This illustrates the fact that digital first businesses are nimbler and better prepared to react to unforeseen challenges.

Learn more about our Healthcare Systems & Services  Practice.

How can advanced electronics companies and industrials benefit from 5G?

The 5G Internet of Things (IoT)  B2B market, and its development over the coming years, offer significant opportunities for advanced electronics organizations. 5G IoT refers to industrial use-case archetypes enabled by the faster, more stable, and more secure connectivity available with 5G. McKinsey analyzed the events surrounding the introduction of 4G and other technologies, looking for clues about how 5G might evolve in the industry.

We found that many companies will derive great value from 5G IoT, but it will come in waves . The first 5G IoT use-case archetypes to gain traction will be those related to enhanced mobile broadband, followed shortly thereafter by use cases for ultra-reliable, low-latency communication. Finally, use cases for massive machine-type communication will take several more years. The businesses best placed to benefit from the growth of 5G include mobile operators, network providers, manufacturing companies, and machinery and industrial automation companies.

The B2B sector is especially well placed to benefit from 5G IoT. The most relevant short-term opportunities for 5G IoT involve Industry 4.0 , or the digitization of manufacturing and other production processes. The Industry 4.0 segment will account for sales of about 22 million 5G IoT units by 2030, with most applications related to manufacturing.

In order to take advantage of the opportunity, advanced electronics companies should look now to revamping their strategies . In the short-term, they should focus on B2B cases that are similar to those now being deployed in the B2C sector. Looking ahead, they should shift their focus toward developing hardware and software tailored to specific applications. But expanding the business field is always something that should be done with great care and consideration.

How will 5G impact the manufacturing industry?

There are five potential applications that are particularly relevant  for manufacturing organizations:

• Cloud control of machines . In the past, automation of machines in factories has relied on controllers that were physically installed on or near machines, which would then send information to computer networks. With 5G, this monitoring can in theory be done in the cloud, although these remain edge cases for now.
• Augmented reality . Seamless AR made possible by 5G connectivity will ultimately replace standard operating procedures currently on paper or video. These will help shop-floor workers undertake advanced tasks without waiting for specialists.
• Perceptive AI eyes on the factory floor . 5G will allow for live video analytics based on real-time video data streaming to the cloud.
• High-speed decisioning. The best-run factories rely on massive data lakes to make decisions. 5G accelerates the decision-cycle time, allowing massive amounts of data to be collected, cleaned, and analyzed in close to real time.
• Shop-floor IoTs . The addition of sensors to machines on factory floors means more data than ever before. The speeds made possible by 5G will allow for the operationalization of these new data.

Learn more about our Operations  Practice.

For a more in-depth exploration of these topics, see McKinsey’s Technology, Media & Telecommunications Practice. Also check out 5G-related job opportunities if you’re interested in working at McKinsey.

Articles referenced:

• “ Unlocking the value of 5G in the B2C marketplace ,” November 5, 2021, Ferry Grijpink , Jesper Larsson, Alexandre Ménard , and Konstantin Pell
• “ Connected world: An evolution in connectivity beyond the 5G revolution ,” February 20, 2020, Ferry Grijpink , Eric Kutcher , Alexandre Ménard , Sree Ramaswamy, Davide Schiavotto , James Manyika , Michael Chui , Rob Hamill, and Emir Okan
• The 5G era: New Horizons for advanced electronics in industrial companies , February 21, 2020, Ondrej Burkacky , Stephanie Lingemann, Alexander Hoffmann, and Markus Simon
• “ Five ways that 5G will revolutionize manufacturing ,” October 18, 2019, Enno de Boer , Sid Khanna , Andy Luse , Rahul Shahani , and Stephen Creasy
• “ Cutting through the 5G hype: Survey shows telcos’ nuanced views ,” February 13, 2019, Ferry Grijpink , Tobias Härlin, Harrison Lung, and Alexandre Ménard
• “ The road to 5G: The inevitable growth of infrastructure cost ,” February 23, 2018, Ferry Grijpink , Alexandre Ménard , Halldor Sigurdsson , and Nemanja Vucevic
• “ Are you ready for 5G? ,” February 22, 2018, Mark Collins, Arnab Das, Alexandre Ménard , and Dev Patel

Want to know more about 5G?

Related articles.

Connected world: An evolution in connectivity beyond the 5G revolution

Unlocking the value of 5G in the B2C marketplace

What is the Internet of Things?

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How Wireless Technology Has Helped Today, Term Paper Example

Pages: 5

Words: 1410

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Technology is improving nowadays at a very exponential rate and this does not need any proof as it is evident from day to day. Taking cellphones as a case-study, we can see that there has been drastic improvements in the outlook and models of mobile phones and other technological devices since their inception. Everybody has stopped using the usual cell phones and almost everyone now use smart phones which is a great leap from what technology used to be a decade ago. Sometimes we wonder why and how technology has improved so exponentially but a scientist has predicted this exponential growth of technology and this prediction is known as Moore’s Law. Moore’s Law states that the number of transistors per square inch on integrated circuits had doubled every year since the integrated circuits was invented and this would continue as a trend in the future (MooresLaw.org). Why do we care? We care because there is a direct relationship between technology and business, and as technology expands, business can be globalized. A substantial part of the upturn in measured productivity can be linked to increased real investments in technology (Brynjolffson et al, 2000). Wireless technology has helped business in many ways like globalization, advertisement, communication, transportation, organization, customer relationships and a lot more of which would be explained in this essay.

Firstly, the inception of wireless technology has brought about innovativeness in organizations, companies and individuals. Mobile E-commerce has given people an avenue to find a new way to make their products and services more appealing to customers and this can be done through various ways. For example, if one needs to send a package and there are two postal services; one which has an online tracking feature, and one which does not. Most people would tend to choose the one which can be tracked because everyone wants to go for the easier things. People like things that can be perceived as easy. Perceived ease of use is an individual’s assessment of the extent to which interaction with a specific information system or technology is free of mental effort (Lu et al, 2005). This also applies to other business organizations as they would strive to make their services better and more appealing to their customers.

Another way by which wireless technology has helped business is in the aspect of communications. There are many ways through which wireless technology has improved communication immensely. Social media is a way through which business organizations reach out to people. Because of the ease of communication, information can be easily disseminated amongst many people in such a short period of time. Also, it is very easy for employees to communicate with employees and it is also very easy for employers to communicate with employees as almost everybody now has one mobile communicating device or the other.

Also the ease of communication has brought about another advantage of technology to the business world and this advantage is globalization. Because everyone around the world can easily get information from anywhere, it has made both small and big companies channel their tentacles outside of their local environment. The world is becoming a global village and it is facilitated by communication technologies. Technology has reduced cultural distance, thereby making the world closer and closer (Charles et al, 2001). Apart from the abstract distance that has been narrowed, the advent of GPS (Global Positioning Systems) has also made impossible places become accessible. In the past, some people might be so scared to drive to wherever they need to go physically but because of the creation of GPS, a lot of people can even drive solely to a place where they need to be. Employees can be sent on errands without worries, and companies of like minds can meet together without worrying.

Another important way through which wireless technology has helped business is in organization. Companies have a more organized schedule due to wireless technology. Many companies provide their employees with wireless devices to aid them in their work. For example many big companies that have the need for tight security provide their security team with walkie-talkies and other devices that can make them perform efficiently and communicate adequately during emergencies. Also people can just get on a lot of companies website and get immediate response for whatever they want. For example, Subway just added a new feature to their website where one can order food online and pick it up in store. This helps people find ease while doing whatever they want to do.

Furthermore, another important positive effect of wireless technology closer customer relationships. Nowadays, when people are unsatisfied with a product or service, they have access to file their complaint appropriately and quickly. Many big companies have a customer service representative team that represent the company and take complaints. Also when the customer has unlimited access to information about the company, it makes the customer feel closer to the person rendering service to them. For example, if one had problems with their cable network provider when there were not many smartphones, then one would feel frustrated about being far away and have to go to a nearby outlet of the cable network provider. However If the same thing happens now, the first thing most people would grab would be their phones and go to the website of this company. Sometimes, if a customer is very interested in a business, he/she would follow them on social media and be updated if there is something wrong. This makes the customer closer to the service providers.

In addition, business organizations have put into use technology in the aspect of mobile application because of more efficiency. Mobile commerce (m?commerce) driven by wireless technology is generating interest from marketers. A partnership between marketers and technology developers is needed to create a successful application (Stan et al, 2005). Therefore this interest is further pursued and applications are developed. Many of this applications are useful in the long run despite the cost or clashes that might ensue with the developer. Due to the high usage of smartphones, people just need to have applications on their wireless devices that can get then closer to what they want. This is also a good thing on the part of the marketer because people would patronize for more products and services if they don’t have to go a long way to get it.

Finally, the last advantage of technology to business is being able to use wireless internet networks (Wi-Fi), and also being able to access information without much stress. We all know that switching from using the modem and wired internet to Wireless has been of tremendous help. One can easily access information on the go, without having to worry about going to a cyber café or somewhere else like that. A marketer who needs an information urgently while on the road can easily pull out his/her mobile device and check for it on the internet. Also many wireless devices can set reminders and also have personal assistants. For example, for a phone brand called apple, there is a personal assistant called Siri and she can virtually do anything that is asked of her as long as it is specified out. This could come in very handy at some times.

In conclusion, there are many ways by which wireless technology has helped business and this can in no way be fully covered in a 4-page essay like this. The advantage of wireless technology cannot be underestimated. Whether to the business man or to the ordinary lay-man. Improvements in technology has improved lifestyle and standards of living as well. It has made things easy for everybody. Wireless technology is a life saver in the medical field, in the engineering field, and also in the research field.  But for the business world, it has helped in areas like communication, access to information, Mobile commerce, organization, innovativeness, and many more areas that are beyond the scope of this essay.

Aungst, S.G., Wilson, D.T. (2005). A primer for navigating the shoals of applying wireless technology to marketing problems. Journal of Business & Industrial Marketing. Pp 59-69

Brynjolfsson, Erik. & Hitt, L.M. (2000). Beyond Computation: Information Technology, Organizational Tansformation and Business Performance. “Journal of Economic Perspectives” Vol 14, No.4. American Economic Association . Pg 23-28.

Ess, Charles. & Sudweeks, Fay. (2001). Culture, Technology, Communication: Towards an Intercultural Global Village. SUNY Press.

Lu, June. Yao, J.E., Yu, C.S. Personal Innovativeness, Social influences, And Adoption of wireless services via mobile technology. The Journal of Strategic information Systems . Pp 245-268

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• Solar Eclipse 2024

Will the Solar Eclipse Affect Cell Service?

F rom New York to Indiana , state officials across the country are warning of potential cell phone outages during the day of the total solar eclipse on April 8, as millions of people flock to the path of totality to witness—and post— the celestial event. 

Cell service can be disrupted when a large number of people overload the system with calls, messages, and other data-sucking activities— a situation that might arise in areas along the path of totality .

“​​A typical overload situation, such as some experience at a major football game, major sporting event or pop concert, is likely to occur in many places where the network is not provisioned for such an unusually large crowd,” Theodore Rappaport, director of NYU Wireless, a multidisciplinary research center focused on the future of wireless communications and applications, says in an email. 

Read More : How to Use Your Smartphone to Take Photos of the Solar Eclipse

Though wireless companies have spent the past few years upgrading their wireless networks, rural areas are still particularly vulnerable to disruptions, Rappaport says, as the grid might not be equipped to handle the sudden influx of tourists. “Imagine a rural cellular system which is usually designed for 1,000 customers. Now, if 10,000 customers show up in the particular rural location, it is likely the much greater customer base will have difficulty accessing bandwidth, and be blocked temporarily until the crowd dissipates,” he says. 

That means “anything more than texting” might be difficult until the congestion eases, he adds. 

Read More : The Eclipse Could Bring $1.5 Billion Into States on the Path of Totality

During the 2017 eclipse, Verizon, AT&T, and T-Mobile all dispatched portable towers to boost coverage along the eclipse’s path. This year, Verizon, T-Mobile, and AT&T said they did not anticipate that the eclipse will significantly impact their networks.

“We do not expect any impact from the 2024 solar eclipse on the operation of our network. In areas where people may gather to experience this event, we’re confident the additional capacity we’ve layered into the network over the past few years will accommodate any increases in data usage,” Verizon said in a statement to TIME. 

“T-Mobile has increased investments in network hardening by more than 30% over the past two years to reduce service interruptions during weather, disaster and major tourism events (like the solar eclipse), adding fixed backup generators at critical sites nationwide,” the network said in a statement .

Read More : Why These Passengers Are Flying up to 30 Hours to See Four Minutes of the Eclipse

"The eclipse itself will have no direct operational impact on our wireless network," AT&T said in a statement. "Our network has drastically changed since the last solar eclipse in 2017. Our customers now have the benefit of AT&T 5G which provides unique experiences, faster speeds and capacity to do more of the things our customers like. We expanded our 5G network to reach more than 295 million people in nearly 24,500 cities and towns in the U.S. Our higher-speed mid-band 5G+ spectrum alone covers more than 210 million people. Our bandwidth has increased significantly in the last few years, providing for an improved experience on our network as a result."

Rappaport says disruptions are likely to be “sporadic and temporary,” but if you’re looking to err on the side of caution, consider downloading any important information you might need— like your hotel address or directions, and stay near a Wi-Fi access point if you are depending on coverage.

One of the biggest impacts cell service disruptions could have on eclipse viewers is making them have to wait a little longer to post images of the eclipse on social media. “I expect in high population centers or places where large crowds gather in peak viewing areas, there will be outages,” Rappaport says, “particularly during the five minutes or so where people are immersed in darkness and trying to share the experience over their phone.”

Correction, April 10

The original version of this story mischaracterized AT&T's response to a request for comment. The network did send a statement and the text has been updated to reflect that.

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Write to Simmone Shah at [email protected]

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Sennheiser Momentum True Wireless 4 review: best-sounding noise-cancelling earbuds

Quality earbuds with improved Bluetooth, great battery life, good controls and future-proofed tech

Sennheiser’s latest high-end earbuds aim to retake the crown as the best-sounding noise-cancelling earbuds you can buy, with cutting-edge chips, tricks and future-proofed tech.

The Momentum True Wireless 4 earbuds cost £259.90 (€299.90/$299.95), pitting them directly against the best from Bose and Sony .

Other than some fetching new colours, the fourth-gen buds are identical on the outside to their predecessors with a mix of metallic, plastic and fabric surfaces that look and feel great.

They are average sized for earbuds and fit well with a decent range of silicone tips and wings provided to customise them to your ears. They were comfortable for long listening periods but those with small ears may struggle a bit to fit them in.

The Sennheiser logo on each earbud acts as a touch-sensitive button, allowing you to control playback, volume, noise-cancelling modes and other features. They work well with a full set of customisation options.

The earbuds last about seven hours between charges, which is long enough for most activities. The fabric-covered case can fully charge the earbuds just over three times for about 30 hours of total playback time.

Specifications

Water resistance: IP54 (splash)

Connectivity: Bluetooth 5.4, SBC, AAC, aptX adaptive, LC3

Battery life: Seven hours; up to 28 hours with case

Earbud weight: 6.2g each

Driver size: 7mm

Charging case weight: 66.4g

Case charging: USB-C, Qi wireless charging

Future-proofed tech

Most of the big upgrades are a result of new chips. The TW4 support Bluetooth 5.4, have a multipoint to connect to two devices at once, and have improved range and a stronger connection to your phone. They also connect to the Sennheiser Smart Control app on your phone significantly faster, allowing you to quickly change modes and other settings, removing a pain point common to many Bluetooth headphones.

Along with the standard SBC and AAC Bluetooth audio formats, the earbuds also support aptX Adaptive, including lossless playback at the equivalent of CD quality with the right phone. Most Android devices support some form of aptX but only the limited number with Snapdragon Sound from Qualcomm will be able to reach the highest-quality versions.

Sennheiser is promising to future-proof the earbuds with an imminent update to add support for LC3 for the next-generation Bluetooth LE audio playback and Auracast , which are technologies expected to be used in phones and other devices in the next year or so. Auracast promises to allow multiple earbuds to connect to one phone, tablet, TV or other device, like a radio broadcast of sorts but over Bluetooth, and is expected to be added to Android 15 this year.

Fantastic sound

Sennheiser has improved what was already the best sound from Bluetooth earbuds. The TW4 produce rich, full and detailed audio capable of doing justice to just about any music genre. They still have plenty of low-end but are a little more balanced than their predecessors with a cleaner, more energised sound overall. They still have the ability to fully adjust the sound via an equaliser or a sound personalisation feature in the app, too.

The earbuds have effective active noise cancelling that is capable of reducing most road noise and rumble as well as distracting background sounds. The earbuds adjust the level of noise suppression automatically, which means that in quieter environments, voices and keyboard taps break through more clearly than ideal. I would prefer an option to set them to maximum noise cancelling all the time. The wind-noise reduction setting is the best I have tried and the ambient awareness mode is also good.

The TW4 cannot match the market leader, Bose , for noise cancelling but they do a generally good job of quietening the outside world.

Call quality is also improved over previous iterations, coming through with clarity in a quiet office and still clear, if a little more robotic, in noisy environments.

Sustainability

Sennheiser estimates the batteries will maintain at least 80% of their original capacity after 500 full charge cycles. An optional protection mode extends battery longevity by slowing charging and limiting the maximum charged capacity. But the batteries are not replaceable, ultimately making them disposable.

Spare parts including tips (£9), earbuds (£170 for pair) and cases (£100) are available. The earbuds do not contain any recycled material and Sennheiser does not publish impact assessments for products.

The Sennheiser Momentum True Wireless 4 cost £259.90 (€299.90/$299.95)

For comparison, the Sony WF-1000XM5 cost £229 , the Bose QuietComfort Ultra Earbuds cost £299.95 , Google Pixel Buds Pro cost £130 and the Apple AirPods Pro 2 cost £229 .

Sennheiser’s fourth-generation top earbuds take what was great about previous efforts and improve just about everything on the inside.

They still look classy, particularly in the new copper colour. But it is the little quality of life improvements, including the faster connection to the control app on your phone and multipoint support, that are most noticeable.

The advanced aptX Bluetooth format support is great for those with compatible phones, while the promise of LC3 and Auracast support for the next generation of Bluetooth ensures the earbuds are future-proofed.

The active noise cancelling is solid but it is Sennheiser’s top-quality audio that makes it the class leader, sounding better than ever.

The earbuds lack advanced Dolby or spatial audio support, which is common among rivals. The case is a little bigger than ideal, and they feel a touch overpriced. But the biggest downside is the lack of replaceable batteries or repair options, ultimately making them disposable and losing a star .

If you want the best-sounding set of Bluetooth earbuds, the Sennheiser Momentum True Wireless 4 are it.

Pros: top-quality sound, good noise cancelling, long battery life, optional stability wings, multipoint, aptX Adaptive support, full equaliser, pocketable case, cross-platform app, promised LC3/Auracast updates. Cons: expensive, case bigger than some of the best, lack of advanced spatial audio features, cannot manually set noise-cancelling level, unrepairable.

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• Wireless Visual Prosthesis Brain Implant Marks Two Years Since Revolutionary Surgical Implantation

The groundbreaking Intracortical Visual Prosthesis (ICVP), an implant that bypasses the retina and optic nerves to connect directly to the brain’s visual cortex, has announced a significant milestone in the creation of artificial vision for individuals affected by total blindness: two years of successful clinical testing following the first successful surgical implantation of the ICVP system of miniaturized wireless stimulators and electrodes. On February 14, 2022, 25 stimulators with a total of 400 electrodes were surgically implanted in an individual with blindness, and in two years since, successful clinical testing has found the prosthesis provides study participants with an improved ability to navigate and perform basic, visually guided tasks. This milestone coincides with a period of heightened global attention toward brain-computer interface technologies, as underscored by recent developments such as Elon Musk's Neuralink.

The ICVP system was developed by a multi-institution team led by Robert A. Pritzker Endowed Chair in Engineering Philip R. Troyk —executive director of the Pritzker Institute of Biomedical Science and Engineering at Illinois Institute of Technology and a professor of biomedical engineering—and represents the culmination of nearly three decades of Illinois Tech research dedicated to ultimately providing artificial sight to those with blindness due to eye disease or trauma.

The ICVP System is the first intracortical visual implant to use a group of fully implanted miniaturized wireless stimulators, allowing devices to be permanently implanted, which is a unique advantage that provides researchers ample time to explore how the device can effectively work, and for the recipient to learn how the device can be useful.

Unlike other neurotechnologies focusing on neural implants for brain privacy and data concerns, the ICVP focuses on creating artificial vision by bypassing damaged optical pathways to directly stimulate the visual cortex.

Reflecting on the journey, Troyk says, “The past two years have been nothing short of extraordinary. Witnessing the ICVP bring about a new form of visual perception to individuals with blindness has reinforced our commitment to this endeavor. Our focus remains steadfast on improving and understanding how this technology can further aid in navigation and performing daily visual tasks for those without biological vision.”

As global narratives around neurotech evolve, with significant discussions on the ethical, privacy, and regulatory implications highlighted by advancements in similar fields, Illinois Tech's ICVP project stands out for its dedicated approach to enhancing human life by enabling artificial vision without compromising on safety or ethical standards.

The significance of ICVP's progress is further illuminated by the context of current neurotechnology discussions, particularly with Neuralink's entry into the realm of brain-computer interfaces. Troyk notes, “While it's encouraging to see more ventures exploring the possibilities within neurotechnology, it's crucial that these endeavors prioritize participant safety, data privacy, and the real-world application of these technologies. Our aim with the ICVP has always been to explore these frontiers responsibly, ensuring that our participants are at the heart of our research.”

Janet Szlyk, president and CEO of The Chicago Lighthouse, echoes this sentiment, highlighting the transformative impact of ICVP on participants. “The journey from the conceptualization to the current successes of the ICVP underscores the incredible potential of neurotechnology to enhance lives. It's a testament to what can be achieved when innovation is guided by a commitment to serving those who stand to benefit the most,” Szlyk says.

As the ICVP moves forward, Illinois Tech is actively seeking new participants for ongoing studies, aiming to broaden the understanding and capabilities of artificial vision. This call for participation is not just an invitation to be part of cutting-edge scientific research but also a step toward building a more inclusive future where technological advancements pave the way for new forms of sensory experience.

Illinois Tech's pioneering work with ICVP, especially in the landscape of emerging neurotechnologies, positions the institution and its partners at the forefront of creating meaningful, ethical, and transformative solutions for individuals affected by total blindness. It underscores the importance of collaborative, multidisciplinary efforts in pushing the boundaries of what's possible in science and technology, with a keen eye on the societal and ethical implications of these advancements.

Illinois Tech is collaborating with Rush University Medical Center, The Chicago Lighthouse, the Wilmer Eye Institute at Johns Hopkins, the University of Texas at Dallas, Microprobes for Life Science, Sigenics Inc., and the University of Chicago on the initiative, with Troyk serving as the principal investigator.

The project is calling for research volunteers who lost their vision as an adult but who had normal or near-normal vision for at least the first 10 years of life. Following surgery and approximately one month of surgical recovery, participants will be studied for one to three years, depending on the date of implantation. Learn more at chicagolighthouse.org/requesticvp or email [email protected] .

Disclaimer: Research reported in this publication was supported by the NIH (BRAIN) Initiative under Award Number UH3NS095557. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Photo: rendering of the Intracortical Visual Prosthesis (ICVP) wireless implantable stimulator model provided by MicroProbes for Life Science . For high resolution images suitable for publication, please contact [email protected] .

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Will the 2024 solar eclipse affect phones? Here's what Verizon, AT&T and T-Mobile say

P ortions of the United States, Mexico and Canada will experience a total solar eclipse on Monday, meaning the moon will completely cover the sun, making the sky go dark .

As tourists flock to states in or near the path of totality, network providers and public officials say there will be a spike in activity on cellular and Wi-Fi networks, according to CNN .

While Arizona is not in the path of totality, it will see a partial solar eclipse, starting at 10:08 a.m., peaking at 11:20 a.m. and ending at 12:35 p.m.

Start the day smarter. Get all the news you need in your inbox each morning.

Here's what cellphone providers like Verizon, T-Mobile and AT&T say about the eclipse's impact on cellphone service.

Will the solar eclipse affect cell or wireless connections?

The solar eclipse itself will not affect participants’ access to Wi-Fi or cell usage; however, the amount of traffic on these networks could slow down speeds, CNN reported. The more people on networks, the slower they are likely to be.

Areas in the path of totality are more likely to face this issue, said Caty Pilachowski, an astronomy professor at the University of Indiana, Bloomington, according to CNN.

Arizona is not in the path of totality, and will only observe a partial solar eclipse.

Will clouds block eclipse in Arizona? Here's what to know about the metro Phoenix forecast

What do cell networks say about wireless traffic and speed?

Despite recent outages in February, a spokesperson for AT&T said it was prepared for an increase in network traffic, CNN reported. During the last total solar eclipse across the United States and North America in 2017, AT&T saw a jump in usage by 15%.

Other cell networks feel similarly, CNN said. Verizon and T-Mobile both feel confident in their network’s capability to manage a larger capacity of users due to traveling for the eclipse.

T-Mobile has dispatched additional, temporary cell towers to accommodate for the increase in traffic, TIME reported.

What if I lose my wireless connection? What should I do?

If you’re worried about dealing with slow connections, you should try and make sure you download anything you will need access to, such as directions or your hotel address, CNN said.

Pilachowski said that eclipse viewers should try to be in the moment. It’s important to enjoy the experience and to recognize how grand it is, she said.

This article originally appeared on Arizona Republic: Will the 2024 solar eclipse affect phones? Here's what Verizon, AT&T and T-Mobile say

Read our research on: Gun Policy | International Conflict | Election 2024

Regions & Countries

Methodology, overview of survey methodologies.

The analysis of changes in party identification over time is based on a compilation of survey estimates conducted by telephone between 1994 and 2018 and online surveys conducted on Pew Research Center’s American Trends Panel between 2019 and 2023. Data from telephone surveys is adjusted to account for differences in survey mode; for details on the adjustment process, refer to Appendix A .

The data from 1994 to 2018 is based on 262 telephone surveys and more than 355,000 interviews among registered voters conducted by Pew Research Center from January 1994 to December 2018. These surveys are combined into one large data file that can be sorted according to a range of demographic characteristics, with comparisons made across different time periods. Yearly totals are calculated by combining all surveys for the calendar year, with appropriate weights applied. The table shows the number of surveys and interviews conducted each year as well as the margin of error for each yearly sample.

The data from 2019 to 2023 is based on American Trends Panel annual profile surveys conducted each summer. These surveys included at least 10,000 respondents and were conducted online. The methodology for the 2023 American Trends Panel profile survey is below.

The 2023 American Trends Panel profile survey methodology

The American Trends Panel (ATP), created by Pew Research Center, is a nationally representative panel of randomly selected U.S. adults. Panelists participate via self-administered web surveys. Panelists who do not have internet access at home are provided with a tablet and wireless internet connection. Interviews are conducted in both English and Spanish. The panel is being managed by Ipsos.

The most current data in this report is drawn from ATP Wave 133, conducted from Aug. 7 to Aug 27, 2023. A total of 11,945 panelists responded out of 12,925 who were sampled, for a response rate of 92%. The cumulative response rate accounting for nonresponse to the recruitment surveys and attrition is 4%. The break-off rate among panelists who logged on to the survey and completed at least one item is less than 1%. The margin of sampling error for the full sample of 11,945 respondents is plus or minus 1.4 percentage points. The survey interviewed 10,124 registered voters, for a sampling error of plus or minus 1.3 percentage point.

Panel recruitment

The ATP was created in 2014, with the first cohort of panelists invited to join the panel at the end of a large, national, landline and cellphone random-digit-dial survey that was conducted in both English and Spanish. Two additional recruitments were conducted using the same method in 2015 and 2017, respectively. Across these three surveys, a total of 19,718 adults were invited to join the ATP, of whom 9,942 (50%) agreed to participate.

In August 2018, the ATP switched from telephone to address-based sampling (ABS) recruitment. A study cover letter and a pre-incentive are mailed to a stratified, random sample of households selected from the U.S. Postal Service’s Delivery Sequence File. This Postal Service file has been estimated to cover as much as 98% of the population, although some studies suggest that the coverage could be in the low 90% range. 1 Within each sampled household, the adult with the next birthday is asked to participate. Other details of the ABS recruitment protocol have changed over time but are available upon request. 2

We have recruited a national sample of U.S. adults to the ATP approximately once per year since 2014. In some years, the recruitment has included additional effort (known as an “oversample”) to boost sample size with underrepresented groups. For example, Hispanic adults, Black adults and Asian adults were oversampled in 2019, 2022 and 2023, respectively.

Across the six address-based recruitments, a total of 23,862 adults were invited to join the ATP, of whom 20,917 agreed to join the panel and completed an initial profile survey. Of the 30,859 individuals who have ever joined the ATP, 12,925 remained active panelists and continued to receive survey invitations at the time this survey was conducted.

The American Trends Panel never uses breakout routers or chains that direct respondents to additional surveys.

Sample design

The overall target population for this survey was noninstitutionalized persons ages 18 and older living in the U.S., including Alaska and Hawaii. All active panel members were invited to participate in this wave.

Questionnaire development and testing

The questionnaire was developed by Pew Research Center in consultation with Ipsos. The web program was rigorously tested on both PC and mobile devices by the Ipsos project management team and Pew Research Center researchers. The Ipsos project management team also populated test data that was analyzed in SPSS to ensure the logic and randomizations were working as intended before launching the survey.

All respondents were offered a post-paid incentive for their participation. Respondents could choose to receive the post-paid incentive in the form of a check or a gift code to Amazon.com or could choose to decline the incentive. Incentive amounts ranged from $5 to $20 depending on whether the respondent belongs to a part of the population that is harder or easier to reach. Differential incentive amounts were designed to increase panel survey participation among groups that traditionally have low survey response propensities.

Data collection protocol

The data collection field period for this survey was Aug. 7 to Aug. 27, 2023. Postcard notifications were mailed to all ATP panelists with a known residential address on Aug. 7.

Invitations were sent out in two separate launches: soft launch and full launch. Ninety panelists were included in the soft launch, which began with an initial invitation sent on Aug. 7. The ATP panelists chosen for the initial soft launch were known responders who had completed previous ATP surveys within one day of receiving their invitation. All remaining English- and Spanish-speaking sampled panelists were included in the full launch and were sent an invitation on Aug. 8.

All panelists with an email address received an email invitation and up to five email reminders if they did not respond to the survey. All ATP panelists who consented to SMS messages received an SMS invitation and up to five SMS reminders. On Aug. 25, interactive voice recording reminder calls were made to 39 tablet households that previously provided consent to receive these reminders.

Data quality checks

To ensure high-quality data, the Center’s researchers performed data quality checks to identify any respondents showing clear patterns of satisficing. This includes checking for very high rates of leaving questions blank, as well as always selecting the first or last answer presented. As a result of this checking, two ATP respondents were removed from the survey dataset prior to weighting and analysis.

The ATP data is weighted in a multistep process that accounts for multiple stages of sampling and nonresponse that occur at different points in the survey process. First, each panelist begins with a base weight that reflects their probability of selection for their initial recruitment survey. These weights are then rescaled and adjusted to account for changes in the design of ATP recruitment surveys from year to year. Finally, the weights are calibrated to align with the population benchmarks in the accompanying table to correct for nonresponse to recruitment surveys and panel attrition. If only a subsample of panelists was invited to participate in the wave, this weight is adjusted to account for any differential probabilities of selection.

Among the panelists who completed the survey, this weight is then calibrated again to align with the population benchmarks identified in the accompanying table and trimmed at the 1st and 99.5th percentiles to reduce the loss in precision stemming from variance in the weights. Sampling errors and tests of statistical significance take into account the effect of weighting.

The following table shows the unweighted sample sizes and the error attributable to sampling that would be expected at the 95% level of confidence for different groups in the survey.

Sample sizes and sampling errors for other subgroups are available upon request. In addition to sampling error, one should bear in mind that question wording and practical difficulties in conducting surveys can introduce error or bias into the findings of opinion polls.

Dispositions and response rates

How family income tiers are calculated

Family income data reported in this study is adjusted for household size and cost-of-living differences by geography. Panelists then are assigned to income tiers that are based on the median adjusted family income of all American Trends Panel members. The process uses the following steps:

• First, panelists are assigned to the midpoint of the income range they selected in a family income question that was measured on either the most recent annual profile survey or, for newly recruited panelists, their recruitment survey. This provides an approximate income value that can be used in calculations for the adjustment.
• Next, these income values are adjusted for the cost of living in the geographic area where the panelist lives. This is calculated using price indexes published by the U.S. Bureau of Economic Analysis. These indexes, known as Regional Price Parities (RPP), compare the prices of goods and services across all U.S. metropolitan statistical areas as well as non-metro areas with the national average prices for the same goods and services. The most recent available data at the time of the annual profile survey is from 2021. Those who fall outside of metropolitan statistical areas are assigned the overall RPP for their state’s non-metropolitan area.
• Family incomes are further adjusted for the number of people in a household using the methodology from Pew Research Center’s previous work on the American middle class . This is done because a four-person household with an income of say, $50,000, faces a tighter budget constraint than a two-person household with the same income.
• Panelists are then assigned an income tier:
• Lower-income adults are in families with adjusted family incomes that are less than half the median adjusted family income for the full ATP at the time of the most recent annual profile survey.
• Lower middle income indicates adjusted family incomes from half to less than two-thirds of the median.
• Middle income indicates adjusted incomes from two-thirds to less than double the median.
• Upper middle income indicates adjusted family incomes from double to less than triple the median.
• Upper income indicates adjusted family incomes that are at least triple the median.

The median adjusted family income for the panel is roughly $71,800. Using this median income, the middle-income range is about $47,900 to $143,600. Lower-income families have adjusted incomes less than $35,900 and lower-middle-income families have adjusted incomes from $35,900 to less than $47,900. Meanwhile, upper-middle-income families have adjusted incomes from $143,600 to less than $215,400, and upper-income families have adjusted incomes $215,400 or greater. (All figures expressed in 2022 dollars and scaled to a household size of three.) If a panelist did not provide their income and/or their household size, they are assigned “no answer” in the income tier variable.

Two examples of how a given area’s cost-of-living adjustment was calculated are as follows: The Anniston-Oxford metropolitan area in Alabama is a relatively inexpensive area, with a price level that is 16.2% less than the national average. The San Francisco-Oakland-Berkeley metropolitan area in California is one of the most expensive areas, with a price level that is 19.8% higher than the national average. Income in the sample is adjusted to make up for this difference. As a result, a family with an income of $41,900 in the Anniston-Oxford area is as well off financially as a family of the same size with an income of $59,900 in San Francisco. 

© Pew Research Center, 2024

• AAPOR Task Force on Address-based Sampling. 2016. “ AAPOR Report: Address-based Sampling .” ↩
• Email [email protected] . ↩

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About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts .

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