This book delves into the confluence of AI and the transformative potential it holds for the future of 6G network services. It uncovers how the integration of AI technologies as well as redefines the landscape of network management and control. This book also offers a new paradigm for delivering on-demand services that are immersive, personalized and of ultimate performance. A detailed exploration of AI-driven network management systems is presenting in this book, discussing the development of knowledge-defined networking, the construction of all-scenario on-demand service systems and the critical role of network management and control in achieving 6G’s vision.
This book begins by examining the historical evolution of communication networks and the pivotal shift towards technology-driven demands in the 6G era. It outlines the book’s coverage of the foundational theories, wireless technologies as well as network architectures that will underpin the next generation of mobile services. Further, this book provides a comprehensive analysis of the key technologies required to support 6G on-demand services, such as trusted and autonomous access control, intelligent resource allocation and service capability coordination. It discusses the challenges and opportunities in developing a network that is not only high-performing but also adaptable to a wide range of applications, from personal use to industrial and agricultural production, and public services.
This book targets advanced-level students and researchers working in this field serving as both a technical guide and a visionary outlook on the role of AI in shaping 6G networks. It also offers insights into the research, development, and potential applications of AI in network services, making it an invaluable resource for professionals, who understand or contribute to the advancement of 6G technologies.
Tabla de materias
What is 6G.- Network Intelligentization.- Knowledge Defined Networking.- 6G On Demand Service Network.- All Scenario On Demand On Demand Service Management and Control System.- Trustworthy Autonomous All Domain Access Control Technology.- Intelligent Allocation Technology for All Scenario KDN Resources.- Technologies for Service Capability Collaboration Interconnection.
Sobre el autor
Jianxin Liao obtained his Ph D degree at the University of Electronics Science and Technology of China in 1996. He is currently the dean of the Network Intelligence Research Center and the full professor of the State Key Laboratory of Networking and Switching Technology at the Beijing University of Posts and Telecommunications. He has published hundreds of research papers and several books. He has won a number of prizes in China for his research achievements, which include the Premier’s Award of Distinguished Young Scientists from the National Natural Science Foundation of China in 2005, and the Specially-invited Professor of the ‘Yangtse River Scholar Award Program’ by the Ministry of Education in 2009. His main research interests include cloud computing, mobile intelligent network, service network intelligence, networking architectures and protocols, and multimedia communication.
Bo He obtained his Ph D degree from Beijing University of Posts and Telecommunications, China, in 2023. He is currently a postdoctoral researcher of the State Key Laboratory of Networking and Switching Technology at the Beijing University of Posts and Telecommunications. From 2021 to 2022, He was a visiting Ph D student at the University of Waterloo, Canada. His research interests include 5G/6G networks, multipath networks, collective communication, transmission control, and deep reinforcement learning.
Jing Wang received the Ph.D. degree from the Beijing University of Posts and Telecommunications, Beijing, China, in 2009. She is currently an Associate Professor with the Beijing University of Posts and Telecommunications. Her research interests include consumer electronic, network intelligence, mobile internet, and ubiquitous services.
Jingyu Wang received his Ph.D. degree from the Beijing University of Posts and Telecommunications, Beijing, China, in 2008. He is currently a Professor with the State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications. He is senior member of IEEE/CIC and selected for Beijing Young Talents Program. He has published more than 200 papers in such as the JSAC, To N, NSDI, Neur IPS, CVPR, ACL and so on. His research interests include broad aspects of Intelligent Networks, Edge/Cloud Computing, Machine Learning, AIOps and Self-Driving Network, Io V/Io T, Knowledge-Defined Network and Intent-Driven Networking.
Qi Qi obtained her Ph D degree from Beijing University of Posts and Telecommunications in 2010. Now, she is a professor at the State Key Laboratory of Networking and Switching Technology at the Beijing University of Posts and Telecommunications. She has published more than 30 papers in international journals or conferences, and obtained two National Natural Science Foundations of China. Her research interests include edge intelligence, the Internet of Things, multimedia services, deep reinforcement learning, and distributed machine learning.
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