Developments in Cognitive Radio Networks, 1st ed. 2022
Future Directions for Beyond 5G

This book provides holistic yet concise information on what modern cognitive radio networks are, how they work, and the possible future directions for them. The authors first present the most generic models of modern cognitive radio networks, taking into consideration their different architectural designs and classifications. While the spectrum resource is shown to be the most important resource for the cognitive radio networks, the book exposes the importance of the other resources that are needed to help drive the technology. The book then discusses in-depth the key tools (such as optimization and queuing theory) and techniques (such as cooperative diversity and relaying) that are being employed to formulate resource problems, investigate solutions, and interpret such solutions for useful and practical modern cognitive radio networks realization. Further, the book studies the impact of modern cognitive radio networks on other emerging technologies -- such as 5G, Internet of Things, and advanced wireless sensor networks -- and discusses the role that cognitive radio networks play in the evolution of smart cities and in the realization of a highly interconnected world. In discussing the future of the cognitive radio networks, the book emphasizes the need to advance new or improved tools, techniques, and solutions to address lingering problems in the aspects of resource realization and utilization, network complexity, network security, etc., which can potentially limit the cognitive radio networks in their stride to becoming one of the most promising technologies for the immediate and near future.

Introduction.- Part I Fundamentals on Cognitive Radio Networks.- Introduction to Cognitive Radio Networks.- Perspectives on Cognitive Radio Networks.- Spectrum Resource for Cognitive Radio Networks.- Part II Resources to Drive Cognitive Radio Networks.- Resource Optimization Problems in Cognitive Radio Networks.- Tools for Resource Optimization in Cognitive Radio Networks.- Modelling and Analyses of Resource Allocation Optimization in Cognitive Radio Networks.- Part III New Directions in the Development of Cognitive Radio Networks.- Queueing Systems in Resource Allocation Optimization for Cognitive Radio Networks.- Cooperative Diversity for Resource Optimization in Cognitive Radio Networks.- Interference Management and Control in Cognitive Radio Networks using Stochastic Geometry.- Deep Learning Opportunities for Resource Management in Cognitive Radio Networks.- The Role of Cognitive Radio Networks in Fifth-Generation.- Future Opportunities for Cognitive Radio Networks.- Conclusion.

Bodhaswar T. Maharaj (Sunil) is the current Dean of the Faculty of Engineering, Built Environment, and Information Technology at the University of Pretoria. He is also the SENTECH Chair in Broadband Wireless Multimedia Communications (BWMC) in the Department of Electrical, Electronic and Computer Engineering at the University of Pretoria. He holds a MEng in Electronic Engineering, an MSc in Operational Telecommunications, and a PhD in Electronic Engineering with specialisation in wireless communications. He is a Fellow of the South African Academy of Engineering (SAAE) and Deputy President of the South African Institute of Electrical Engineers (SAIEE). He is Senior Member of IEEE and South Africa Chapter Chair for IEEE Vehicular Technology Society (VTS). He has over 30 years; industry, consulting, research and academic experience and his research interests are in cognitive radio networks, MIMO systems, sensor wireless networks resource allocation and rural broadband communications systems. Dr Maharaj has over 140 peer reviewed journal articles and full conference papers in proceedings and 2 international patents. He has been the conference Chair for IEEE Wireless Africa 2019 conference and the General Conference Chair for the World Engineering Education (WEEF) and Global Engineering Deans Council (GEDC) 2020 Conference.

Babatunde. S. Awoyemi received a Bachelor’s degree (with Honours) in Electrical and Electronic Engineering from the Federal University of Technology, Akure, Nigeria (2008), a Master’s degree in Electronic Engineering from the University of KwaZulu-Natal, South Africa (2014) and a PhD in Electronic Engineering from the University of Pretoria, South Africa (2017). He is currently a Postdoctoral Research Fellow with the University of Pretoria. His research interest is in next-generation wireless communications, with niche for solving resource allocation and network restoration problems for next-generation networks. His work cuts across fifth-g