This book investigates edge intelligence-empowered integrated sensing and communications (ISAC) systems from the perspectives of artificial intelligence (AI) model management and resource management. It first introduces the evolution, core principles, and representative use cases of the ISAC paradigm, and then presents a virtualization-centric framework based on network slicing, digital twins, and model-based and data-driven optimization. Under this framework, this book presents task offloading and edge continual learning approaches for intelligent sensing data processing, as well as proactive and real-time resource management methods to support efficient resource utilization and service satisfaction.
Sensing and communications are essential functions in modern autonomous systems and mobile applications. Future wireless networks are expected to integrate these functions by orchestrating network resources, giving rise to the ISAC paradigm. While this integration improves resource utilization efficiency and delivers mutual performance gains, ISAC systems face challenges in sensing signal processing and network resource management due to richer environmental awareness requirements and dynamic service demand.
By examining the interplay between AI model management and resource management, this book provides customized designs and efficient algorithms to support edge intelligence for ISAC. It serves as a reference for researchers, industry professionals, and graduate students in related fields.
About the Author :
Dr. Shisheng Hu is currently a postdoctoral fellow with the Department of Electrical and Computer Engineering, University of Waterloo, Canada. He received the B.Eng. and M.Sc. degrees from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2018 and 2021, respectively, and the Ph.D. degree in electrical and computer engineering from the University of Waterloo, Waterloo, ON, Canada, in 2025. His research interests include edge intelligence, integrated sensing and communications, and machine learning for wireless networks. He received the WCSP'25 Best Paper Award, the IEEE VTC2025-Fall Best Student Paper Award, and the IEEE GLOBECOM'24 Best Paper Award. He served as a TPC member of several conferences, including IEEE ICC, GLOBECOM, and VTC.
Dr. Conghao Zhou is currently a professor at the School of Telecommunications Engineering, Xidian University, China. He received his B. Eng. and M. S. degrees from Northeastern University China, and the University of Illinois at Chicago, USA, respectively, and his Ph.D. degree in Electrical and Computer Engineering from the University of Waterloo, Canada. He was a Postdoctoral Research Fellow in the University of Waterloo. His research interests include space-air-ground integrated networks, AI for networking, and immersive communications. Dr. Zhou received the IEEE GLOBECOM'24 Best Paper Award and the IEEE PIMRC'23 Best Paper Award. He served as a guest editor for IEEE Journal on Miniaturization for Air and Space Systems and MDPI Remote Sensing, and TPC members of many conferences, including IEEE ICC, ICCC, PIMRC, and VTC.
Dr. Weihua Zhuang received the B.Sc. and M.Sc. degrees from Dalian Maritime University, China, and the Ph.D. degree from the University of New Brunswick, Canada, all in electrical engineering. She is a University Professor and a University Research Chair in Electrical and Computer Engineering, University of Waterloo, Canada. Her current research focuses on network architecture, algorithms and protocols, and service provisioning in future telecommunication systems. She is the recipient of Women's Distinguished Career Award in 2021 from IEEE Vehicular Technology Society, R.A. Fessenden Award in 2021 from IEEE Canada, Award of Merit in 2021 from the Federation of Chinese Canadian Professionals (Ontario), and Technical Recognition Award in Ad Hoc and Sensor Networks in 2017 from IEEE Communications Society.In 2021, she was recognized by the University of Waterloo for her exceptional scholarly achievement and international pre-eminence through the designation "University Professor".
Dr. Zhuang is a Fellow of the IEEE, Royal Society of Canada (RSC), Canadian Academy of Engineering (CAE), and Engineering Institute of Canada (EIC). She is an elected member of the Board of Governors of the IEEE Vehicular Technology Society (VTS). She was a Tier I Canada Research Chair in Wireless Communication Network (2010-2024), the VTS President (2023-2024), Editor-in-Chief of IEEE Transactions on Vehicular Technology (2007-2013), an editor of IEEE Transactions on Wireless Communications (2005-2009), General Co-Chair of IEEE/CIC International Conference on Communications in China (ICCC) 2021, Technical Program Committee (TPC) Chair/Co-Chair of IEEE Vehicular Technology Conference 2017 Fall and 2016 Fall, and TPC Symposia Chair of the IEEE Globecom 2011.
