Handbook of Artificial Intelligence in Green 6G Wireless Communications

The book begins by exploring the fundamentals of green wireless communication systems, providing a detailed overview of the core principles and candidate enabling technologies for 6G. It then discusses innovative technologies and the integration of artificial intelligence (AI)- empowered algorithms into wireless networks to promote green, sustainable environments. Additionally, the handbook presents interdisciplinary approaches and emphasizes the need for hybrid solutions to develop green and secure 6G network infrastructure. This Book:Examines the role of AI in shaping the architecture and protocols of emerging wireless systems, as well as key application areas such as traffic prediction, dynamic spectrum access, and energy efficiencyDiscusses the incorporation of AI-based algorithms into wireless networks, enabling optimal channel estimation, traffic prediction, interference management, and resource allocation in green wireless communication systemsExplains advanced cryptographic techniques and physical layer security architecture specifically tailored for safeguarding wireless communication networks operating in open channelsExplores the latest trends in the application of AI in wireless networks and highlights the path toward AI-enabled wireless communication systemsIdentifies future challenges and provides a roadmap for the future adoption of AI in advanced wireless communication systemsThe book is primarily written for senior undergraduates, graduate students, academic researchers, and professionals in electrical engineering, electronics and communications engineering, telecommunication, wireless communication, and environmental engineering.

Agbotiname Lucky Imoize (Senior Member, IEEE) received the B.Eng. degree (Hons.) in Electrical and Electronics Engineering from Ambrose Alli University, Nigeria, in 2008 and the M.Sc. degree in Electrical and Electronics Engineering from the University of Lagos, Nigeria, in 2012. He is a lecturer in the Department of Electrical and Electronics Engineering at the University of Lagos, Nigeria. He has been a researcher at Ruhr University Bochum, Germany, under sponsorship from the Nigerian Petroleum Technology Development Fund (PTDF) and the German Academic Exchange Service (DAAD) through the Nigerian-German Postgraduate Program. He was awarded the Fulbright fellowship as a visiting researcher at the Wireless@VT Laboratory in the Bradley Department of Electrical and Computer Engineering at Virginia Tech, USA, where he worked under the supervision of Prof. R. Michael Buehrer from 2017 to 2018. Before joining the University of Lagos, he was a Lecturer at Bells University of Technology, Nigeria. He also worked as a core network products manager at ZTE Nigeria and as a Network Switching Subsystem Engineer at Globacom Nigeria. His research interests span 6G wireless communication, wireless security systems, and artificial intelligence. Imoize is the Book Editing Officer for the ACM Emerging Interest Group on Trustworthy and Responsible Systems (EIGTRUST). He is the Vice Chair of the IEEE Communication Society Nigeria chapter, a registered engineer with the Council for the Regulation of Engineering in Nigeria, and a member of the Nigerian Society of Engineers.

Abdulwaheed Musa (Senior Member, IEEE) received the B.Eng. degree in Electrical & Computer Engineering from the Federal University of Technology, Minna, Nigeria, in 2007, the M.Sc. degree in Communication Engineering in 2012, and the Ph.D. degree in Engineering in 2015 from the International Islamic University, Malaysia, where he was nominated for the Ph.D. Best Student award. He was a Postdoctoral Research Fellow and is currently a Senior Research Associate at the Institute for Intelligent Systems, University of Johannesburg, South Africa. He is an Associate Professor in the Department of Electrical & Computer Engineering, Kwara State University, Malete, Nigeria, where he is the Founding Director of the Centre for Artificial Intelligence and Machine Learning Systems (CAMS). His research interests include wireless and mobile communication systems, artificial intelligence and machine learning, engineering intelligence, intelligent wireless networks, AI-enabled security systems, smart energy and renewable energy systems, and AI applications for sustainable development. Dr. Musa has secured competitive research grants and has led multidisciplinary research projects. He is the recipient of the Kwara State University Researcher of the Year Award for two consecutive academic sessions, 2023/2024 and 2024/2025, in recognition of his outstanding research contributions. He serves as a reviewer for journals and conferences, including IEEE publications, and has contributed to the editorial development of several scholarly publications. He has attended international events, including ITU Telecom World and the World Economic Forum on Africa, where he contributed to discussions on emerging technologies and digital transformation. Dr. Musa is also a member of the Institution of Engineering and Technology (IET) and a registered engineer with the Council for the Regulation of Engineering in Nigeria (COREN).

Yuichi Sei 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 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. 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.

Cristian Randieri is a proactive and visionary academic with over 15 years of active research in experimental nuclear physics. He has conducted studies at leading international laboratories, including CERN, ESRF, and INFN. His research interests encompass hi-tech solutions, advanced industrial applications, and artificial intelligence. Prof. Randieri is a prolific author, with more than 400 scientific and technical publications. He is the founder of Intellisystem Technologies, an Italian research and development company dedicated to creating and commercializing advanced technological solutions. Prof. Randieri currently holds a faculty position at eCampus University and teaches Computer Vision, Databases, and Human-Machine Interfaces. He is also a member of the Forbes Technology Council and a group leader of the Scientific Research & Business group. He collaborates with the Giunta Lab and is.Lab() at Sapienza University of Rome, and serves as EMEA Director of Kwaai, a nonprofit organization committed to democratizing personal AI through open-source technologies.