Walaa Hamouda
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.
Recommendations
Dynamic Spectrum Access in heterogeneous unlicensed wireless networks
Existing wireless systems are normally regulated by a fixed spectrum assignment strategy. This policy leads to an undesirable situation that some systems may only use the allocated spectrum to a limited extent while others have very serious spectrum ...
Distributed Shared Spectrum Techniques for Cognitive Wireless Radio Networks
CICN '10: Proceedings of the 2010 International Conference on Computational Intelligence and Communication NetworksCognitive radios (CR) offer the promise of being a disruptive technology innovation that will enable the future wireless world. CR techniques are being applied in many different communications systems. They promise to improve the utilization of radio ...
Comments