Handbook of AI in Wireless Networks
Foundations, Techniques, and Emerging Applications
Will be published approx. on 31. July 2026
740 pages
E-Book
978-1-040-92558-4 (ISBN)
Description
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 optimisation 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 optimisation, 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.
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 optimisation 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 optimisation, 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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
College/higher education
Illustrations
47 Tables, black and white; 73 Line drawings, color; 118 Line drawings, black and white; 5 Halftones, color; 78 Illustrations, color; 118 Illustrations, black and white
ISBN-13
978-1-040-92558-4 (9781040925584)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Agbotiname Lucky Imoize | Abdulwaheed Musa | Yuichi Sei
Handbook of AI in Wireless Networks
Foundations, Techniques, and Emerging Applications
Book
approx. 07/2026
1st Edition
CRC Press
€216.50
Not yet published
Persons
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.
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.
Content
Chapter 1 Artificial Intelligence Empowered 6G Wireless Networks: Architectures, Techniques, and Future Directions Chapter 2 Deep Reinforcement Learning for Wireless Networks: Architectures, Algorithms, and Emerging Applications Chapter 3 AI for Spectrum Management in Emerging Wireless Networks Chapter 4 Advanced Machine Learning Algorithms for Emerging Wireless Networks Chapter 5 Exploring the Foundations of Artificial Intelligence in Emerging Wireless Networks Chapter 6 Application of artificial intelligence in 6G wireless networks and beyond Chapter 7 AI for Advanced Wireless Security and Privacy Systems Chapter 8 AI for Intelligent IoT Networks and Emerging Computing Devices Chapter 9 Application of AI in 6G Optical Wireless Networks: Development, Opportunities, and Challenges Chapter 10 Intelligent Sensor Network for UAV Monitoring and Control with a Secure Communication Protocol Chapter 11 Artificial Intelligence-Based Fault Detection and Self-Healing in Wireless Communication Systems Chapter 12 Quantum Machine Learning - based adaptive modulation for optimizing wireless communication systems Chapter 13 AI-Driven Ultra Massive MIMO Systems and Techniques for 6G and Beyond Chapter 14 Pose2Sound: Generating Instrument Audio from Video via Human Motion Cues Chapter 15 Edge AI for IoT Systems: Architectures and Applications Chapter 16 Examining AI-Empowered 5G Wireless Network Optimization Chapter 17 Ethical Considerations for AI-Driven Wireless Networks Chapter 18 AI in Advanced Vehicular Networks: Design Principles and Applications Chapter 19 The Ethics of AI-Assisted Wireless Networks: New Frontiers of the New World Chapter 20 AI-enabled joint wireless network sensing and communication in 6G Chapter 21 Current Trends and Challenges in the Application of Artificial Intelligence for Network Attack Detection
