The Interplay Between Intelligent Networks and Enabling Technologies for Future Wireless Networks

W. Hamouda
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Abstract

Cognitive radio (CR) technology can leverage intelligence enabled by the integration of machine learning (ML) to successfully deliver pervasive connectivity for next-generation wireless networks. In this, a comprehensive overview of the uses of intelligent cognitive radio in a wide range of existing and emerging wireless technologies, including energy harvesting, physical-layer security, Internet of Things (IoT), mobile communications (vehicular and railway), and unmanned aerial vehicle (UAV) communications, will be presented. The interplay between intelligent CR and current and future technologies will be discussed. Emphasis will be on how the aforementioned techniques can benefit from intelligent CR and vice versa. For each technology, the key motivation for using intelligent networks will be highlighted CR with existing state-of-the-art ML approaches. The problems and prospective research avenues, and a futuristic road map exploring different possibilities for overcoming challenges through trending concepts will also be discussed.
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智能网络与未来无线网络使能技术之间的相互作用
认知无线电(CR)技术可以利用集成机器学习(ML)所实现的智能,成功地为下一代无线网络提供无处不在的连接。在此,将全面概述智能认知无线电在广泛的现有和新兴无线技术中的应用,包括能量收集,物理层安全,物联网(IoT),移动通信(车辆和铁路)以及无人机(UAV)通信。将讨论智能CR与当前和未来技术之间的相互作用。重点将放在上述技术如何从智能CR中获益,反之亦然。对于每种技术,使用智能网络的关键动机将通过现有的最先进的机器学习方法来强调。问题和未来的研究途径,以及未来的路线图探索不同的可能性,克服挑战,通过趋势概念也将讨论。
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