6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions

Chowdhury, Mostafa Zaman; Shahjalal, Md.; Ahmed, Shakil; Jang, Yeong Min

doi:10.1109/ojcoms.2020.3010270

Cited by 936 publications

(458 citation statements)

References 82 publications

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“…The blockchain is managed by peerto-peer networks and it can exist without being managed by a centralized authority or a server. Blockchain technology is expected to provide several facilities, such as interoperability across devices, traceability of massive data, autonomic interactions of different IoT systems, and reliability for the massive connectivity of 6G communication systems [22]. Blockchain traffic obeys to small world models and power laws as analyzed below.…”

Section: ) Blockchainmentioning

confidence: 99%

Complex Systems: A Communication Networks Perspective Towards 6G

et al. 2020

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Over the last few years, the analysis and modeling of networks as well as the analysis and modeling of networked dynamical systems, has attracted considerable interdisciplinary interest, especially using the complex systems theory. These efforts are driven by the fact that systems, as diverse as genetic networks or the Internet can be effectively described as complex networks. Contrary, despite the unprecedented evolution of technology, basic issues and fundamental principles related to the structural and evolutionary properties of communication networks still remain largely unaddressed. The situation is even more complicated when we attempt to model the mobile communication networks and especially the 5th generation (5G) and eventually the forthcoming 6th generation (6G). In this work, we attempt to review basic models of complex networks from a communication networks perspective, focusing on their structural and evolutionary properties. Based on this review we aim to reveal the models of complex networks, that may apply when modeling the 5G and 6G mobile communication networks. Furthermore, we expect to encourage the collaboration between complex systems and networking theorists toward meeting the challenging demands of 5G networks and beyond. INDEX TERMS Complex systems, complex networks, networked complex system, 5G, 6G, wireless communications, wireless networks, mobile communication networks, modeling.

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Section: ) Blockchainmentioning

confidence: 99%

Complex Systems: A Communication Networks Perspective Towards 6G

et al. 2020

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“…The specific structures of 6G will quicken the structure of smart societies prompting "life class developments, environmental observing and robotics using AI-based M2M communication and energy harvesting" [20]. Extended reality: Augmented reality services (hereinafter referred to as XR), "counting augmented reality (AR), mixed reality (MR) and VR", are essential components of 6G communication systems [19]. Connected robotics and autonomous systems: 6G systems help deploy linked robots and autonomous systems.…”

Section: Super Smart Societymentioning

confidence: 99%

“…The 6G system will support the complete IoE system. It is essentially an Internet of Things (IoT), then it is a general word that assimilates four characteristics, as "data, people, processes also physical devices", into a framework [19].…”

Section: Information Transfer In the Five Sensesmentioning

confidence: 99%

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A Review of Vision and Challenges of 6G Technology

Nawaz¹,

Ibrahim²,

Awais³

et al. 2020

IJACSA

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With the accelerated evolution of smart terminals and rising fresh applications, wireless information traffic has sharply enhanced and underway cellular networks (even 5G) can't entirely compete the rapidly emerging technical necessities. A fresh framework of wireless communication, the sixth era (6G) framework, by floating aid of artificial intelligence is anticipated to be equipped somewhere in the range of 2027 and 2030. This paper presents critical analysis of Vision of 6G wireless communication and its network structure; also outline a number of important technical challenges, additionally some possible solutions related to 6G, as well as physical layer transmission procedures, network designs, security methods.

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“…Recently, the unmanned aerial vehicles (UAVs) communication has attracted substantial attention by fifth-generation (5G) and beyond wireless networks researchers due to its salient features to support convenient connectivity with enhanced spectral efficiency [1]. The UAV provides on-demand, cost-effective deployment, on-board communication, and the flexible system reconfiguration compared to the base stations (BSs) on the ground [2]- [4].…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks

2020

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The unmanned aerial vehicle (UAV) communication is a potential technology to meet the excessive next-generation cellular users' demand due to its reliable connectivity and cost-effective deployment. However, UAV communications have to be energy efficient so that it can save energy. Thus, the UAV flies sufficiently long enough time to serve the ground users with limited on-board energy. In this paper, we investigate an energy-efficient UAV communication via designing the UAV trajectory path. We consider throughput and the UAV propulsion energy consumption jointly. We assume that the UAV flies at a fixed altitude such that it can avoid tall obstacles. A binary decision variable is assigned to schedule UAV-to-user communication. First, we derive the UAV-to-user channel model based on the line of sight and non-line of sight communication links and jointly optimize the trajectory, transmit power, and the speed of UAV; and UAV-to-user scheduling to maximize throughput. Then, we apply the UAV propulsion energy consumption, which is a function of the UAV trajectory and speed. Finally, we formulate the UAV energy-efficiency maximization problem, which is defined as the total bits of information sent to the ground users by consuming the UAV energy for a given UAV flight duration. The formulated energy-efficiency maximization problem is non-convex, fractional, and mixed-integer non-linear programming in nature. We propose an efficient algorithm based on successive convex approximation and classical Dinkelbach method to achieve the optimal solution of energy-efficient UAV. We present simulation results to validate the efficacy of our proposed algorithms. The results show a significant performance improvement compared to the benchmark methods. INDEX TERMS UAV, throughput, UAV propulsion energy, energy-efficiency, UAV-user scheduling.

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6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions

Cited by 936 publications

References 82 publications

Complex Systems: A Communication Networks Perspective Towards 6G

Complex Systems: A Communication Networks Perspective Towards 6G

A Review of Vision and Challenges of 6G Technology

Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks

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