6G Enabled Smart Infrastructure: Comparison
Please note this is a comparison between Version 2 by Peter Tang and Version 1 by Agbotiname Lucky Imoize.

6G is expected to have data rates in the order of terabits per second and a latency of less than 1ms. It is expected to drive the Internet of Everything, with 10,000,000 connections per square km.

  • 6G wireless communication
  • 6G vision
  • 6G requirements
  • 6G enabling technologies
  • 6G challenges
  • 6G applications

1. Introduction

The commercialization of 5G commenced in 2019, and further adoption is expected in 2021 and beyond. There has been tangential research interest on future 6G wireless networks [1]. The COVID-19 pandemic forced more businesses online, birthing a “New Normal” with a borderless workplace. Ericsson has forecasted that there will be faster commercialization of 5G as more people embrace this shift to a borderless workplace. The resulting surge in Internet usage beams light on the need for better connectivity to meet the growing demand for more stringent network requirements. This is required to facilitate emerging technologies such as extended reality [2], haptics [3], connected autonomous systems [4], telemedicine, Industrial Internet of Things (IIoT) [5], which are sensitive to latency and require ultra-fast data speed. For example, ultra-low latency and ultra-fast data speed reduce the collision rates and improve the safety of the autonomous vehicle. These applications are necessary to facilitate autonomous and smart life, multisensory virtual experience, intelligent cities, smart agriculture, and more. Unfortunately, the promising 5G networks cannot meet these growing demands [6,7][6][7]. Thus, there is an imperative need for the development of 6G communication networks. 6G wireless networks are also proposed to ameliorate social needs, thereby facilitating the actualization of the Sustainable Development Goals (SDGs) [8]. The proposed network requirements of 6G can be summarized as (1) Ultra-fast data rates as high as 1Tbps (2) Ultra-low latency of less than 1ms (3) Increased mobility and coverage (4) Flexible, and efficient connection of trillion level objects [9] (5) Peak spectral efficiency of 60 b/s/Hz (6) Very high system reliability (7) Improved network security.

6G is expected to have data rates in the order of terabits per second and a latency of less than 1ms. It is expected to drive the Internet of Everything, with 107 connections per km2 [10]. To achieve this, 6G will leverage on subterahertz and Terahertz spectrum (300 GHz to 10 THz) [11[11][12],12], which provides a higher frequency spectrum as against the millimeter wave spectrum (30–300 GHz) adopted in 5G [13]. Exploring a higher frequency spectrum is necessary because the sub-6GHz range is already crowded. Apart from giving room for more spectrum, the Terahertz spectrum gives rise to higher data rates desirable in 6G networks. However, transmitting at a higher frequency spectrum is prone to high path loss, making the distance for transmission limited. This and other challenges with THz transmissions, such as hardware constraints, are treated in this paper. Additionally, Optical wireless technologies [14] such as Visible Light Communication (VLC) [15] and Free Space Optical communication [16] are discussed extensively.

Additionally, technologies such as Reconfigurable Intelligent Surfaces (RIS) [17[17][18][19],18,19], cell-free massive MIMO [20], Artificial Intelligence (AI), which are expected to drive the actualization of 6G, are broached. We consider RIS, which will be deployed on doors, windows of buildings to reflect received signal without interference. Furthermore, we explore why the RIS technology is a preferable candidate to the existing relays. The massive MIMO technology is introduced in 5G with a more dense network of access points (APs) [21]. This is further developed in 6G to include a network with no cells (cell-free) [22]. The benefits are tremendous as it improves spectral efficiency in communication networks. However, there are challenges with obtaining channel information and concerns about health risks associated with such a dense network of APs. There is limited literature to address these concerns; thus, the need for this review. We also believe Pervasive AI is critical in actualizing 6G. Artificial Neural Networks [23,24][23][24], Deep Neural Networks [25] have been proposed to enable intelligent networks.

Despite the auspicious view of this technology, challenges with complex data and more have been highlighted. These challenges have been delineated in this article. Other enabling technologies such as Quantum Communication [26], Ambient Backscatter Communication Systems (ABCS) [27], Blockchain [28], UAVs [29], and more have also been proposed and treated extensively in this paper. Future generation networks are desired to have high speed and low latency and secured communication. Quantum communication has been proposed to enable security and facilitate faster processing power for future wireless networks [30]. However, there are doubts if research in quantum communication will be ripe enough to facilitate the 6G communication systems [31]. However, this technology will see more light beyond 6G, towards the 7G era. Blockchain is another technology proposed to facilitate security, and we have examined this with the hope that it would provide the desired privacy and integrity in future wireless networks. Blockchain technology has been introduced in 5G [32].

Energy efficiency is another interesting topic for future wireless networks. It is desirable to have hardware that is compatible with the energy requirements of 6G. Ambient Backscatter Communication Systems (ABCS), and Energy Harvesting (EH) techniques, are proposed to enable wireless charging. This gives room for longer battery life, which has been proposed as a requirement for future wireless networks [33]. With the ABCS, devices have an alternative source of power from wireless communication. This is consequently extending the battery life of devices. Simultaneous Wireless and Information Power Transfer (SWIPT) [34], if enabled by 6G, will resolve energy requirements issues at the mobile unit [35]. We believe this will enable haptics [36], the Internet of Bio-Nano Things, and other applications with very restrictive energy requirements.

2. Related Works and Contributions

There are a few related works of literature that proposed the vision, requirements, enabling technologies, and design of 6G wireless networks [33,39,40,41,42][33][37][38][39][40]. In particular, David et al. [33] opined that 6G would enable wireless charging and high data rates. The authors also identified the need for socio-ethics in the 6G design. Nayak and Patgiri [39][37] proposed 6G to change the perceptual experience in lifestyle, business, and society. The study also presents some technology-driven challenges in 6G wireless networks and the probable solutions. In [40][38], the authors examined critical features such as security, secrecy, and privacy to make 6G truly human-centric. Tariq et al. [41][39] present an extension to the existing vision of 5G and show speculatively how the 5G vision and technologies can be enhanced to drive the anticipated 6G. Yang et al. [42][40] proposed integrating machine learning and big data to facilitate intelligent transmission. The application of Big data and AI has also been considered in the scholarly works of literature [24,43,44][24][41][42]. Other enabling technologies such as Intelligent Reflecting Surfaces [17], Blockchain [28], Terahertz communication [11], and more, proposed for 6G communication, have also been surveyed. Additionally, the future projections of wireless communication presented in existing reports are highlighted.

This paper extensively considers existing research, clearly outlining the enabling technologies and the associated challenges, applications, and new applications such as the IoBNT and Digital Replica, which are not given adequate treatment in many related papers. Use cases in agriculture, education, media and entertainment, and more are discussed extensively. Apart from the technical challenges associated with the enabling technologies, this paper examines the social, psychological, and health concerns that could pose a challenge to 6G adoption. This paper also explores the recent research breakthroughs in 5G and the limitations of 5G, which make 6G a highly prospective candidate. A comparative review of some of the proposed enabling technologies, open research issues and lessons learned, and proposed future research directions are also discussed extensively.

In summary, Table 1 examines the limitations of some of the existing surveys and our contributions in this paper to fill the knowledge gap. We hope this paper gives the reader a panoramic view of what 6G will be, clearly outlining the possible challenges associated with the 6G-enabling technologies, applications, use cases, and more. Finally, this paper provides a future outlook of what needs to be done to facilitate this desirable generation of wireless communication towards achieving the United Nations Sustainable Development Goals.

Table 1. Limitations of some related surveys and our contributions.

Table 3.

Table 2. Comparing the different generations of wireless communication from 1G to 6G.

3. The Evolution from 1G to 6G

The analog wireless cellular network, which formed the first generation of wireless communication, was in use in the 1980s. This facilitated voice calls between mobile users. The Advanced Mobile Phone System (AMPS), International Mobile Telecommunications Standard (IMTS), and Point to Call formed the basis for the 1G. Additionally, some European countries adopted the Nordic Mobile Radio System (NMR). This resulted from incompatibility challenges. The first-generation network was monopolized and was not affordable for many. 2G brought about high-quality, secure mobile voice and basic data services such as fax and text messaging. GSM was at the core of the 2G. It was regarded as the “Groupe Speciale Mobile”—a group of technical personnel set up by the Postal and Telecommunication Administration (CEPT) Conference to develop digital mobile communication technology [50][48]. This was developed as the wireless counterpart of the land-lined Integrated Services Digital Network (ISDN) system. The acronym was later changed to refer to “Global Systems for Mobile Communication.” The GSM standard was deployed in 1991, using the 900 MHz bands [51][49].

The GSM architecture comprises the Mobile Station, Network and Switching Subsystem, and the Base Station Subsystem (BSS), also known as the radio network. Additionally, included is an intelligent network subsystem that enables intelligent functionality such as prepaid services and short message services (SMS). GSM utilized Frequency Division Multiple Access (FDMA) and Time Division Multiple Access (TDMA) for simultaneous communication between the subscriber and the base station [52][50]. The former allowed communication using multiple frequencies, while the latter enabled communication through multiplexing by time slots. General Packet Radio Service (GPRS) was developed to facilitate features such as always-on, higher capacity, internet-based content, packet-based data services, enabling services such as color internet service, email on the move, and visual communications, multimedia messages, and location-based services [53][51].

In the early twenty-first century, 3G was developed as an upgrade to the features in 2G. It permitted faster data rates in the range of 300 kbps–30 Mbps and services such as video conferencing, remote supervision systems, and enabled information services. Technologies such as Wideband Code Division Multiple Access (WCDMA), Universal Mobile Telephone Service (UMTS) were key to achieving the 3G. The 3rd Generation Partnership Programme (3GPP) was formed in 1998 to oversee UMTS implementation and other enabling technology for 3G. 3GPP2 was also formed in the United States to develop global specifications for 3G systems. Critical concepts for evolution toward beyond 3G networks are presented in [54][52].

Long-Term Evolution (LTE) was deployed in 2009. With the proliferation of smartphones and tablets, online gaming, and other services, 4G has been a significant success, enabling these services with its data speed of 100 Mbps–1000 Mbps. Although the first release of LTE was in 2005 by 3GPP in release 6, the full development was only achieved in release 8 in 2008. Further details on the technical solutions for the 3G long-term evolution are reported in [55][53]. The LTE is often regarded as the 4G; however, the LTE-Advanced features such as increased peak data rate, spectral efficiency, simultaneous active subscribers, and improved cell-edge performance make it the true 4G. Key performance indicators for 4G LTE are given by [56[54][55],57], and radial basis function neural network pathloss prediction model in LTE network was reported in [58][56]. A higher data rate was achieved and lower latency in 20 ms–100 ms, which was lower than that obtained in 3G. 4G facilitated video streaming, online gaming, and more. The need for a higher data rate and lower latency gave room for interest in 5G.

5G commercialization started in 2019, and it opens up new use cases in the Internet of Things (IoT), immersive gaming, virtual reality, and more. 6G is expected to have a higher data rate in the range of 100 Gbps–1 Tbps and latency lower than 1ms. This opens up applications in holographic communication, tactile internet, extended reality, and more. Table 2 summarizes the technology, data rates, and supporting applications from 1G to 6G. The change in latency from 1G to 6G is also shown. Furthermore, a comparative analysis of 5G, Beyond 5G (B5G), and 6G is presented in

This table compares the different generations of wireless communication from 1G to 6G with respect to the supporting technologies, data features, and enabling applications. It shows that with higher data rates and lower latency, more sophisticated applications are enabled.

Table 3. A comparative analysis of 5G, B5G, and 6G.

Description

5G

Beyond 5G

6G

Frequency bands

Sub-6GHz

mmWave for fixed access

Sub-6GHz

mmWave for fixed access

Sub-6GHz

mmWave for mobile access

Exploration of higher frequency and THz bands (above 300 GHz)

Non-RF (optical, VLC)

Rates requirements

20 Gb/s

100 Gb/s

1 Tb/s

Radio only delay requirements

100 ns

100 ns

10 ns

End-to-End delay(latency) requirements

5 ms

1 ms

<1 ms

Processing delay

, and more. The requirements are high reliability [7], the high data rate in the order of 1 Tb/s, ultra-low latency of less than 1ms, high energy and spectral efficiency [87][85], security and privacy [88][86], and ubiquitous connectivity that connects everyone, including people in rural areas [89,90][87][88]. The Ultra-Reliable Low Latency Communication (URLLC) required in 6G networks is also under more stringent conditions than that obtainable in 5G, with delay jitters, context awareness, and UAV/Satellite compatibility being considered. Sustainability is also desirable in future wireless networks, and there is a need for Green Networking architecture that will be environmentally friendly [91][89]. Figure 1 shows a brief overview that compares the Key Performance Indicators in 5G and those expected in 6G.

 

 

Figure 1. Comparative Analysis of 5G and 6G Key Performance Indicators.

5. Enabling Technologies and Challenges for 6G

Here, we present a robust discussion of the enabling technologies of the 6G communication system. We envision that Artificial Intelligence, which was introduced in 5G, will be further explored and central in achieving an intelligent 6G network. Reconfigurable Intelligent Surfaces will be deployed on doors, windows, buildings, and these reflect signals and help in places where maintaining Line of Sight (LoS) is tricky. The advantages of this over conventional relay systems are discussed. Cell-free Massive MIMO, TeraHertz, and Optical Wireless Technology, and more are also treated in this section. Quantum communication has been proposed, although research is in its inchoate state. This will improve the computing efficiency and security of future wireless networks. Unmanned Aerial Vehicles (UAV) and Cubesats are proposed to facilitate space communication. Some literature presents this as the Internet of Space Things [31,37][31][90]. This is important as it expands coverage and facilitates ubiquitous connectivity. The desirable wireless charging can be enabled by Ambient Backscatter Communication System (ABCS). Figure 2 gives a pictorial guide to the enabling technologies.

Figure 2. 6G Enabling Technologies.

6. 6G Applications

Every generation of wireless networks has facilitated new applications, and 6G is not an exception. The need for higher data rates, lower latency, high reliability, and more have given rise to the development and deployment of new wireless generation networks. In this section, we examine the applications to be facilitated by 6G. Although these or similar applications have been proposed to be enabled by 5G, 5G cannot meet the requirements to facilitate these applications seamlessly at the current development stage. Some limitations in 5G, such as scarce bandwidth and high-energy consumption, have been identified [231][91]. Although 5G tests have shown prospects with the actualization of a data rate of 8 Gbps [232][92] and 1 Gbps at 6.5 km distance [233][93], these are still below the peak data of 20 Gbps proposed in the literature. Therefore, existing 5G networks cannot meet high-speed intensive applications such as holographic communication, which require 1 Tbps for seamless communication [39][37]. Other limitations identified with 5G wireless networks are high interference due to massive interconnection, insufficient computing capacity, and lack of ubiquitous connectivity. Hence there is a need for 6G communication, which promises better features than 5G.

Some of the applications to be facilitated and fully enabled by 6G are holographic communication, teleoperated driving, tactile internet, Industry 4.0, and more. New applications that were not considered in the 5G context, such as IoBNT and Digital replica, are also introduced in this paper. Table 4 gives a summarized description of these applications. Furthermore, we outline the challenges in achieving some of these applications. Additionally, desirable features of these applications are considered. These applications, the 5G limitations, and how 6G wireless networks will enable them are highlighted in this section. In this literature, it has been established that the existing features of 5G are not efficient enough to enable the requirements of these technologies. We consider each application in this section, pointing out some of the requirements that make 6G an ideal candidate for these applications.

Table 4. Brief description of 6G applications.

Applications

Brief Descriptions

Holographic Communication

This enables human communication through holographs-3D images in thin air. To improve the experience of remote communication as we embrace a borderless workplace. Latency and high bandwidths are some of the challenges associated with Holographic Communication. 6G will solve these challenges.

Tactile Internet

Enables human-to-machine interactions and machine-to-machine interactions.

Industry 4.0 and beyond

Comprises cyber-physical systems, IoT, and cloud computing. Additionally, AI and ultra-fast wireless networks will drive the 4th industrial revolution. This enables smart cities, factories which are some of the vision for 6G.

Teleoperated Driving

Allows cars to be controlled remotely. These cars are also referred to as semi-autonomous vehicles. Semi-autonomous cars require a fast and ubiquitous wireless network with ultra-low latency.

Internet Bio-Nano Things

An interconnection of biological nano-sized objects(nanomachines). Takes application largely in healthcare. 6G is proposed to provide the perceptual requirements and ultra-low latency required by IoBNT.

Multisensory XR Applications

AR/MR/VR that incorporates perceptual experience. Supported by URLLC and eMBB and perceptual factors to be supported by 6G. An excellent candidate to provide a better gaming experience.

Blockchain and Distributed Ledger Technologies

Blockchain is postulated to provide security for 6G networks. They also require low latency, reliable connectivity, and scalability, which 6G networks will provide.

Connected Robotics and Autonomous Systems (CRAS)

CRAS is required to improve industrialization through the use of robots and autonomous systems for industrial operations. They require a high rate and reliability and low latency.

Wireless Brain-Computer Interface (BCI)

BCI enables communication between the brain and electronic devices. This requires ultra-low latency, high reliability, and high data rate.

Digital Replica

These are also called digital twins, and they create a digital copy to replace people, places, systems, objects. This requires a very high data rate, which 6G will enable.

100 ns

50 ns

10 ns

Device types

Sensors

Smartphones

Drones

Sensors

Smartphones

Drones

XR equipment

Sensors and DLT

CRAS

XR and BCI

Smart implants

Architecture

Dense sub-6 GHz small base stations with umbrella macro stations.

mmWave small cells of about 100 m (about fixed access).

Denser sub-6 GHz small cells with umbrella macro base stations.

<100 m tiny and dense mmWave cells.

Cell-free smart surfaces at high frequency supported by mmWave tiny cells for mobile and free access.

Temporary hotspots are served by drone-carrier base stations or tethered balloons.

Trials of tiny THz cells.

Services

eMBB

URLLC

mMTC

Reliable eMBB

URLLC

mMTC

Hybrid (URLLC + eMBB)

HCS

MPS

MBRLLC

mURLLC

This table zooms in on the comparison of 5G, Beyond 5G, and 6G, presenting a specific latency, brief description of the architecture, and services such as MBRLLC, mURLLC that have been proposed. The device types are also shown to include BCI and smart implants in 6G.

4. Vision of 6G Wireless Communication

There have been different descriptions of what the 6G network should be by researchers [40,45,79,80,81][38][43][77][78][79]. Furthermore, the authors in [82][80] defined it as a technology that will make human society a “Ubiquitous Intelligent Mobile Society.” In [41][39], the authors envisioned 6G to facilitate super smart cities with pervasive autonomous systems. It is expected that 6G will be supported by existing 5G infrastructure such as Software-Defined Networking [83][81], Network Function Virtualization (NFV) [84][82], and Network Slicing (NS) [85][83] together with new infrastructure. In order to give a future assessment of how well 6G has accomplished the required cases, this paper examines various visions and requirements projected by different researchers [42,43,44][40][41][42]. It presents a blend of what 6G will be. Just as we envisage, some researchers also believe there will be a pervasive application of AI to make 6G a reality [20,70][20][68]. There is also research on optical wireless communication to enable indoor and outdoor communication at high-data rates [86][84]. Simultaneous Wireless and Information Power Transfer (SWIPT) [35], which is an Energy Harvesting (EH) technique, has been proposed to improve the battery life of UEs [40,41][38][39].

6G is expected to support smart cities, the Internet of Everything (IoE) [39][37], tactile devices [9]

References

  1. You, X.; Wang, C.X.; Huang, J.; Gao, X.; Zhang, Z.; Wang, M.; Huang, Y.; Zhang, C.; Jiang, Y.; Wang, J.; et al. Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts. Sci. China Inf. Sci. 2021, 64, 110301.
  2. Muñoz-Saavedra, L.; Miró-Amarante, L.; Domínguez-Morales, M. Augmented and virtual reality evolution and future tendency. Appl. Sci. 2020, 10, 322.
  3. Murphy, K.; Darrah, M. Haptics-based apps for middle school students with visual impairments. IEEE Trans. Haptics 2015, 8, 318–326.
  4. Elliott, D.; Keen, W.; Miao, L. Recent advances in connected and automated vehicles. J. Traffic Transp. Eng. Engl. Ed. 2019, 6, 109–131.
  5. Khan, W.Z.; Rehman, M.H.; Zangoti, H.M.; Afzal, M.K.; Armi, N.; Salah, K. Industrial internet of things: Recent advances, enabling technologies and open challenges. Comput. Electr. Eng. 2020, 81, 106522.
  6. Calvanese Strinati, E.; Barbarossa, S.; Gonzalez-Jimenez, J.L.; Kténas, D.; Cassiau, N.; Maret, L.; Dehos, C. 6G: The Next Frontier: From Holographic Messaging to Artificial Intelligence Using Subterahertz and Visible Light Communication. IEEE Veh. Technol. Mag. 2019, 14, 42–58.
  7. Elmeadawy, S.; Shubair, R.M. 6G Wireless Communications: Future Technologies and Research Challenges. In Proceedings of the 2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019, Ras Al Khaimah, United Arab Emerites, 19–21 November 2019; pp. 2–7.
  8. Samsung. The Next Hyper Connected Experience for All. 2020. Available online: (accessed on 20 January 2021).
  9. Yang, P.; Xiao, Y.; Xiao, M.; Li, S. 6G Wireless Communications: Vision and Potential Techniques. IEEE Netw. 2019, 33, 70–75.
  10. Giordani, M.; Polese, M.; Mezzavilla, M.; Rangan, S.; Zorzi, M. Toward 6G Networks: Use Cases and Technologies. IEEE Commun. Mag. 2020, 58, 55–61.
  11. Han, C.; Wu, Y.; Chen, Z.; Wang, X. Terahertz Communications (TeraCom): Challenges and Impact on 6G Wireless Systems. arXiv 2019, arXiv:1912.06040.
  12. Rappaport, T.S.; Xing, Y.; Kanhere, O.; Ju, S.; Madanayake, A.; Mandal, S.; Alkhateeb, A.; Trichopoulos, G.C. Wireless communications and applications above 100 GHz: Opportunities and challenges for 6g and beyond. IEEE Access 2019, 7, 78729–78757.
  13. Hong, W.; Jiang, Z.H.; Yu, C.; Hou, D.; Wang, H.; Guo, C.; Hu, Y.; Kuai, L.; Yu, Y.; Jiang, Z.; et al. The Role of Millimeter-Wave Technologies in 5G/6G Wireless Communications. IEEE J. Microwav. 2021, 1, 101–122.
  14. Arai, S.; Kinoshita, M.; Yamazato, T. Optical wireless communication: A candidate 6G technology? IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 2021, E104A, 227–234.
  15. Khan, L.U. Visible light communication: Applications, architecture, standardization and research challenges. Digit. Commun. Netw. 2017, 3, 78–88.
  16. Chaudhary, S.; Amphawan, A. The role and challenges of free-space optical systems. J. Opt. Commun. 2014, 35, 327–334.
  17. Zhao, J. A Survey of Intelligent Reflecting Surfaces (IRSs): Towards 6G Wireless Communication Networks. arXiv 2019, arXiv:1907.04789.
  18. Basar, E.; Di Renzo, M.; De Rosny, J.; Debbah, M.; Alouini, M.-S.; Zhang, R. Wireless Communications Through Reconfigurable Intelligent Surfaces. IEEE Access 2019, 7, 116753–116773.
  19. Toumi, M.; Aijaz, A. System Performance Insights into Design of RIS-assisted Smart Radio Environments for 6G. arXiv 2021, arXiv:2101.01102.
  20. Hu, S.; Rusek, F.; Edfors, O. Beyond Massive MIMO: The Potential of Data Transmission with Large Intelligent Surfaces. IEEE Trans. Signal. Process. 2018, 66, 2746–2758.
  21. Andrews, J.G.; Buzzi, S.; Choi, W.; Hanly, S.V.; Lozano, A.; Soong, A.C.; Zhang, J.C. What will 5G be? IEEE J. Sel. Areas Commun. 2014, 32, 1065–1082.
  22. Interdonato, G.; Björnson, E.; Quoc Ngo, H.; Frenger, P.; Larsson, E.G. Ubiquitous cell-free Massive MIMO communications. Eurasip J. Wirel. Commun. Netw. 2019, 2019, 197.
  23. Chen, M.; Challita, U.; Saad, W.; Yin, C.; Debbah, M. Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial. IEEE Commun. Surv. Tutor. 2019, 21, 3039–3071.
  24. Ali, S.; Saad, W.; Rajatheva, N.; Chang, K.; Steinbach, D.; Sliwa, B.; Wietfeld, C.; Mei, K.; Shiri, H.; Zepernick, H.-J.; et al. 6G White Paper on Machine Learning in Wireless Communication Networks. arXiv 2020, arXiv:2004.13875.
  25. Dai, L.; Jiao, R.; Adachi, F.; Poor, H.V.; Hanzo, L. Deep Learning for Wireless Communications: An Emerging Interdisciplinary Paradigm. IEEE Wirel. Commun. 2020, 27, 133–139.
  26. Manzalini, A. Quantum Communications in Future Networks and Services. Quantum Rep. 2020, 2, 221–232.
  27. Van Huynh, N.; Hoang, D.T.; Lu, X.; Niyato, D.; Wang, P.; Kim, D.I. Ambient backscatter communications: A contemporary survey. IEEE Commun. Surv. Tutor. 2018, 20, 2889–2922.
  28. Gupta, R.; Nair, A.; Tanwar, S.; Kumar, N. Blockchain-assisted secure UAV communication in 6G environment: Architecture, opportunities, and challenges. IET Commun. 2021, 1–16.
  29. Mahdi Azari, M.; Geraci, G.; Garcia-Rodriguez, A.; Pollin, S. UAV-to-UAV communications in cellular networks. IEEE Trans. Wirel. Commun. 2020, 19, 6130–6144.
  30. Padamvathi, V.; Vardhan, B.V.; Krishna, A.V.N. Quantum Cryptography and Quantum Key Distribution Protocols: A Survey. In Proceedings of the 2016 IEEE 6th International Conference on Advanced Computing (IACC), Bhimavaram, India, 27–28 February 2016; pp. 556–562.
  31. Akyildiz, I.F.; Kak, A.; Nie, S. 6G and Beyond: The Future of Wireless Communications Systems. IEEE Access 2020, 8, 133995–134030.
  32. Chaer, A.; Salah, K.; Lima, C.; Ray, P.P.; Sheltami, T. Blockchain for 5G: Opportunities and challenges. In Proceedings of the 2019 IEEE Globecom Workshops (GC Wkshps), Waikoloa, HI, USA, 9–13 December 2019.
  33. David, K.; Berndt, H. 6G Vision and requirements: Is there any need for beyond 5g? IEEE Veh. Technol. Mag. 2018, 13, 72–80.
  34. Fager, C.; Member, S.; Eriksson, T.; Member, S.; Fellow, H.Z.; Dielacher, F.; Member, S.; Studer, C.; Member, S. Implementation Challenges and Opportunities in Beyond-5G and 6G Communication. IEEE J. Microw. 2021, 1, 1–14.
  35. Ponnimbaduge Perera, T.D.; Jayakody, D.N.K.; Sharma, S.K.; Chatzinotas, S.; Li, J. Simultaneous Wireless Information and Power Transfer (SWIPT): Recent Advances and Future Challenges. IEEE Commun. Surv. Tutor. 2018, 20, 264–302.
  36. Ebrahimzadeh, A.; Maier, M. Toward 6G: A New Era of Convergence; Wiley-IEEE Press: Hoboken, NJ, USA, 2021.
  37. Nayak, S.; Patgiri, R. 6G Communications: A Vision on the Potential Applications. arXiv 2020, arXiv:2005.07531.
  38. Dang, S.; Amin, O.; Shihada, B.; Alouini, M.S. What should 6G be? Nat. Electron. 2020, 3, 20–29.
  39. Tariq, F.; Khandaker, M.R.A.; Wong, K.K.; Imran, M.A.; Bennis, M.; Debbah, M. A Speculative Study on 6G. IEEE Wirel. Commun. 2020, 27, 118–125.
  40. Yang, H.; Alphones, A.; Xiong, Z.; Niyato, D.; Zhao, J.; Wu, K. Artificial intelligence-enabled intelligent 6G networks. IEEE Netw. 2020, 34, 272–280.
  41. Kibria, M.G.; Nguyen, K.; Villardi, G.P.; Zhao, O.; Ishizu, K.; Kojima, F. Big Data Analytics, Machine Learning, and Artificial Intelligence in Next-Generation Wireless Networks. IEEE Access 2018, 6, 32328–32338.
  42. Shafin, R.; Liu, L.; Chandrasekhar, V.; Chen, H.; Reed, J.; Zhang, J.C. Artificial Intelligence-Enabled Cellular Networks: A Critical Path to Beyond-5G and 6G. IEEE Wirel. Commun. 2020, 27, 212–217.
  43. Alsharif, M.H.; Kelechi, A.H.; Albreem, M.A.; Chaudhry, S.A.; Sultan Zia, M.; Kim, S. Sixth generation (6G)wireless networks: Vision, research activities, challenges and potential solutions. Symmetry 2020, 12, 676.
  44. Viswanathan, H.; Mogensen, P.E. Communications in the 6G Era. IEEE Access 2020, 8, 57063–57074.
  45. Saad, W.; Bennis, M.; Chen, M. A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems. IEEE Netw. 2019, 34, 134–142.
  46. Chowdhury, M.Z.; Shahjalal, M.; Ahmed, S.; Jang, Y.M. 6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions. arXiv 2019, arXiv:1909.11315.
  47. Yuan, Y.; Zhao, Y.; Zong, B.; Parolari, S. Potential key technologies for 6G mobile communications. Sci. China Inf. Sci. 2020, 63, 183301.
  48. Rahnema, M. Ovewiew of the GSM System and Protocol Architecture. IEEE Commun. Mag. 1993, 31, 92–100.
  49. Gu, G.; Peng, G. The survey of GSM wireless communication system. In Proceedings of the ICCIA 2010–2010 International Conference on Computer and Information Application, Tianjin, China, 3–5 December 2010; pp. 121–124.
  50. Hui, J.Y.; Arthurs, E. A Broadband Packet Switch for Integrated Transport. IEEE J. Sel. Areas Commun. 1987, 5, 1264–1273.
  51. Jung, K. Transition from circuit-switched to packet-switched 3G mobile multimedia telephony. In Proceedings of the 2009 IEEE Int. Symp. a World Wireless, Mob. Multimed. Networks Work. WOWMOM 2009, Kos, Greece, 15–19 June 2009; pp. 1–9.
  52. Denton, S.; Brinckerhoff, P. Key Concepts for Evolution Toward Beyond 3G Networks. IEEE Wirel. Commun. 2003, 10, 43–48.
  53. Ekström, H.; Furuskär, A.; Karlsson, J.; Meyer, M.; Parkvall, S.; Torsner, J.; Wahlqvist, M. Technical solutions for the 3G long-term evolution. IEEE Commun. Mag. 2006, 44, 38–45.
  54. Imoize, A.L.; Adegbite, O.D. Measurements-Based Performance Analysis of a 4G Lte Network in and Around Shopping Malls and Campus Environments in Lagos Nigeria. Arid Zo. J. Eng. Technol. Environ. 2018, 14, 208–225.
  55. Imoize, A.L.; Orolu, K.; Atayero, A.A.-A. Analysis of key performance indicators of a 4G LTE network based on experimental data obtained from a densely populated smart city. Data Br. 2020, 29, 1–17.
  56. Ojo, S.; Imoize, A.; Alienyi, D. Radial basis function neural network path loss prediction model for LTE networks in multitransmitter signal propagation environments. Int. J. Commun. Syst. 2021, 34, 1–26.
  57. Young, W. Advanced Mobile Phone Service: Introduction, Background, and Objectives. Bell Syst. Tech. J. 1979, 58.
  58. Peersman, G.; Cvetkovic, S.; Griffiths, P.; Spear, H. Global system for mobile communications short message service. IEEE Pers. Commun. 2000, 7, 15–23.
  59. Lee, W.C.Y. Overview of cellular CDMA. IEEE Trans. Veh. Technol. 1991, 40, 291–302.
  60. Kara, N.; Issa, O.; Byette, A. Real 3G WCDMA networks performance analysis. In Proceedings of the Conference on Local Computer Networks, Sydney, NSW, Australia, 17 November 2005; pp. 586–592.
  61. Attar, R.; Ghosh, D.; Lott, C.; Fan, M.; Black, P.J.; Rezaiifar, R.; Agashe, P. Evolution of cdma2000 cellular networks: Multicarrier EV-DO. IEEE Commun. Mag. 2006, 44, 46–53.
  62. Garhwal, A.; Bhattacharya, P.P. A review on WiMAX Technology. Int. J. Adv. Comput. Inf. Technol. 2012, 1, 167–173.
  63. Jimaa, S.; Chai, K.K.; Chen, Y.; Alfadhl, Y. LTE-A an overview and future research areas. Int. Conf. Wirel. Mob. Comput. Netw. Commun. 2011, 395–399.
  64. Lamba, M.; Singh, C. Challenges and Future Direction for MIMO Communication System. SOP Trans. Wirel. Commun. 2014, 1, 42–50.
  65. Wu, Q.; Zhang, R. Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network. IEEE Commun. Mag. 2020, 58, 106–112.
  66. Ngo, H.Q.; Ashikhmin, A.; Yang, H.; Larsson, E.G.; Marzetta, T.L. Cell-Free Massive MIMO Versus Small Cells. IEEE Trans. Wirel. Commun. 2017, 16, 1834–1850.
  67. Akyildiz, I.F.; Jornet, J.M.; Han, C. Terahertz band: Next frontier for wireless communications. Phys. Commun. 2014, 12, 16–32.
  68. Faruque, S. Frequency Division Multiple Access (FDMA). In Radio Frequency Multiple Access Techniques Made Easy; Springer: Cham, Switzerland, 2019; pp. 21–33.
  69. Li, M.; Chen, T.; Yao, X. A critical review of “a practical guide to select quality indicators for assessing pareto-based search algorithms in search-based software engineering”: Essay on quality indicator selection for SBSE. In Proceedings of the International Conference on Software Engineering, Casablanca, Morocco, 4–6 January 2018; pp. 17–20.
  70. Barreto, A.; Vieira, R. OFDMA Systems and Applications; Taylor and Francis Group: Abingdon, UK, 2010; pp. 563–594. ISBN 9780429074684.
  71. Michailow, N.; Matthe, M.; Gaspar, I.S.; Caldevilla, A.N.; Mendes, L.L.; Festag, A.; Fettweis, G. Generalized frequency division multiplexing for 5th generation cellular networks. IEEE Trans. Commun. 2014, 62, 3045–3061.
  72. Bedoui, A.; Et-Tolba, M. A comparative analysis of filter bank multicarrier (FBMC) as 5G multiplexing technique. In Proceedings of the 2017 International Conference on Wireless Networks and Mobile Communications, WINCOM 2017, Rabat, Morocco, 1–4 November 2017; pp. 1–7.
  73. Farhang, M.; Khaleghi Bizaki, H. Adaptive time-frequency multiplexing for 5G applications. AEU Int. J. Electron. Commun. 2020, 117, 153089.
  74. Baghani, M.; Parsaeefard, S.; Derakhshani, M.; Saad, W. Dynamic Non-Orthogonal Multiple Access and Orthogonal Multiple Access in 5G Wireless Networks. IEEE Trans. Commun. 2019, 67, 6360–6373.
  75. Cheng, W.; Zhang, W.; Jing, H.; Gao, S.; Zhang, H. Orbital angular momentum for wireless communications. IEEE Wirel. Commun. 2019, 26, 100–107.
  76. Akay, E.; Sengul, E.; Ayanoglu, E. Achieving full spatial multiplexing and full diversity in wireless communications. IEEE Wirel. Commun. Netw. Conf. WCNC 2006, 4, 2046–2050.
  77. Samdanis, K.; Taleb, T. The Road beyond 5G: A Vision and Insight of the Key Technologies. IEEE Netw. 2020, 34, 135–141.
  78. Zhao, Y.; Yu, G.; Xu, H. 6G mobile communication networks: Vision, challenges, and key technologies. Sci. Sin. Inf. 2019, 49, 963–987.
  79. Zhang, Z.; Xiao, Y.; Ma, Z.; Xiao, M.; Ding, Z.; Lei, X.; Karagiannidis, G.K.; Fan, P. 6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies. IEEE Veh. Technol. Mag. 2019, 14, 28–41.
  80. Chen, S.; Liang, Y.C.; Sun, S.; Kang, S.; Cheng, W.; Peng, M. Vision, Requirements, and Technology Trend of 6G: How to Tackle the Challenges of System Coverage, Capacity, User Data-Rate and Movement Speed. IEEE Wirel. Commun. 2020, 27, 218–228.
  81. Freeman, B.; Nguyen, H. Software-defined networking. Build. Netw. Futur. Get. Smarter Faster More Flex. A Softw. Cent. Approach 2017, 87–102.
  82. Abdelwahab, S.; Hamdaoui, B.; Guizani, M.; Znati, T. Network function virtualization in 5G. IEEE Commun. Mag. 2016, 54, 84–91.
  83. Li, X.; Samaka, M.; Chan, H.A.; Bhamare, D.; Gupta, L.; Guo, C.; Jain, R. Network Slicing for 5G: Challenges and Opportunities. IEEE Internet Comput. 2018.
  84. Mansour, A.; Mesleh, R.; Abaza, M. New challenges in wireless and free space optical communications. Opt. Lasers Eng. 2016, 89, 95–108.
  85. Zhou, S.; Xu, W.; Wang, K.; Di Renzo, M.; Alouini, M.S. Spectral and Energy Efficiency of IRS-Assisted MISO Communication with Hardware Impairments. IEEE Wirel. Commun. Lett. 2020, 9, 1366–1369.
  86. Wang, M.; Zhu, T.; Zhang, T.; Zhang, J.; Yu, S.; Zhou, W. Security and privacy in 6G networks: New areas and new challenges. Digit. Commun. Netw. 2020, 6, 281–291.
  87. Chiaraviglio, L.; Blefari-Melazzi, N.; Liu, W.; Gutierrez, J.A.; Van De Beek, J.; Birke, R.; Chen, L.; Idzikowski, F.; Kilper, D.; Monti, J.P.; et al. 5G in rural and low-income areas: Are we ready? In Proceedings of the 2016 ITU Kaleidoscope Academic Conference ICTs a Sustainable World, ITU WT 2016, Bangkok, Thailand, 14–16 November 2016.
  88. Rajatheva, N.; Atzeni, I.; Bjornson, E.; Bourdoux, A.; Buzzi, S.; Dore, J.-B.; Erkucuk, S.; Fuentes, M.; Guan, K.; Hu, Y.; et al. White Paper on Broadband Connectivity in 6G. arXiv 2020, arXiv:2004.14247.
  89. Huang, T.; Yang, W.; Wu, J.; Ma, J.; Zhang, X.; Zhang, D. A Survey on Green 6G Network: Architecture and Technologies. IEEE Access 2019, 7, 175758–175768.
  90. Akyildiz, I.F.; Kak, I.A. The internet of space things/cubesats. IEEE Netw. 2019, 33, 212–218.
  91. Lee, Y.L.; Qin, D.; Wang, L.; Sim, G.H. 6G Massive Radio Access Networks: Key Applications, Requirements and Challenges. IEEE Open J. Veh. Technol. 2020, 2, 54–66.
  92. Nokia Nokia, Elisa and Qualcomm Achieve 5G Speed Record in Finland. Available online: (accessed on 8 February 2020).
  93. Qualcomm TIM, Ericsson and Qualcomm Set World Record for Long Distance Speed with 5G mmWave Applied to FWA. Available online: (accessed on 8 December 2020).
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