Handbook of AI in Wireless Networks: Foundations, Techniques, and Emerging Applications

This handbook bridges the gap between theory and practical applications, providing foundational knowledge and actionable insights into the use of AI in future wireless networks. The book is a comprehensive guide to developing, deploying, and managing intelligent wireless systems, contributing to the global push toward a hyper-connected world.

Handbook of AI in Wireless Networks: Foundations, Techniques, and Emerging Applications explores the intersection of Artificial Intelligence (AI) and wireless communication systems, providing a comprehensive guide to how AI transforms the design, management, and optimization of wireless networks. Additionally, the book discusses emerging trends in AI-aided wireless communication systems, including integrated sensing and communications, intelligent spectrum management for dynamic allocation, traffic scheduling for optimal resource allocation, energy efficiency, security and privacy, and ethical considerations. The book offers innovative approaches to solving real-world wireless network challenges related to spectrum management, network optimization, traffic management, security, and privacy, leveraging cutting-edge AI algorithms.

The book is written for a diverse audience, including researchers, academics, industry professionals, and policymakers in wireless communications, artificial intelligence, and network systems. It is particularly relevant to engineers and practitioners involved in designing, developing, and deploying next-generation wireless networks, as well as to graduate and postgraduate students specializing in AI, telecommunications, and computer networks.

Agbotiname Lucky Imoize is a Lecturer in the Department of Electrical and Electronics Engineering at the University of Lagos, Nigeria. His research interests include 6G wireless communications, wireless security systems, and artificial intelligence. He is a Fulbright fellow, the vice chair of the IEEE Communication Society Nigeria chapter, and a registered engineer with the Council for the Regulation of Engineering in Nigeria. He is a senior member of IEEE.

Abdulwaheed Musa is a senior academic in the Department of Electrical and Computer Engineering at the Kwara State University (KWASU), Malete, Nigeria. He holds a Ph.D. in engineering and has expertise in wireless communication systems, renewable energy, artificial intelligence, and emerging technologies. He was a Postdoctoral Research Fellow and a Senior Research Associate at the Institute for Intelligent Systems at the University of Johannesburg, South Africa. Dr. Musa is a senior member of IEEE, ITU, and IET.

Yuichi Sei serves as a senior fellow at the Mitsubishi Research Institute, an adjunct researcher at Waseda University, and a visiting professor at the National Institute of Informatics. He received his Ph.D. degree in Information Science and Technology from the University of Tokyo in 2009. From 2009 to 2012, he worked at the Mitsubishi Research Institute. In 2013, he joined the University of Electro-Communications, where he currently serves as a professor in the Graduate School of Informatics and Engineering. He also. Additionally, he serves as secretary of the IEEE Computer Society Tokyo/Japan Joint Chapter. His current research interests include artificial intelligence, privacy-preserving data mining, and software engineering. He received the IPSJ/IEEE Computer Society Young Computer Researcher Award in 2021 and is a member of IEEE.