Resource Management for Satellite-Terrestrial Vehicular Networks
Description
This book introduces state-of-the-art research on Satellite-Terrestrial Vehicular Networks (STVNs). It develops theoretical models for performance analysis, evaluating the joint impact of constellation parameters, satellite mobility and terrestrial deployments. Building upon these foundations, this book explores multi-dimensional resource management across satellite and terrestrial networks. Under the slicing-based two-stage framework, adaptive resource slicing for high-definition map distribution and cooperative resource scheduling for environment sensing are presented. This book also provides valuable theoretical foundations and practical insights for the design and optimization of future STVNs.
Satellite-Terrestrial Vehicular Networks STVNs, which integrate low Earth orbit (LEO) satellites to supplement terrestrial vehicular networks and offers a heterogeneous architecture to extend network coverage for connected vehicles (CVs). Leveraging vehicle-to-everything (V2X) communication, STVNs can support multifarious safety- and efficiency-oriented applications to expand situational awareness, reduce response time and smooth traffic flow. To meet stringent requirements for network continuity, low latency, and high service reliability under dynamic environments, this book systematically explores resource management for STVNs. It conducts theoretical models for performance analysis and developing multi-dimensional resource management schemes to enable reliable, low-complexity, and adaptive service provisioning for CVs.
This book serves as a useful reference for researchers and engineers in the fields of vehicular networks and integration of satellite-terrestrial networks to help them design and optimize resilient communication networks. Advanced-level students in computer science and electrical engineering will also find this book useful as a study guide.
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Persons
Mingcheng He (IEEE S'21-M'25) received the Ph.D. degree in electrical and computer engineering from the University of Waterloo, Ontario, Canada, in 2024, and the B.Sc. and M.Eng. degrees from Shanghai Jiao Tong University, Shanghai, China, in 2017 and 2020, respectively. He is currently a postdoctoral research fellow with the University of Waterloo. His research interests include satellite-terrestrial integration networks, network slicing, and artificial intelligence for wireless networks. He received the Best Paper Awards at IEEE GLOBECOM 2024, and IEEE WCSP 2025.
Huaqing Wu (IEEE S'15-M'21) received the Ph.D. degree from the University of Waterloo, Ontario, Canada, in 2021, and the B.E. and M.E. degrees from Beijing University of Posts and Telecommunications, Beijing, China, in 2014 and 2017, respectively. Dr. Wu is currently an assistant professor with the Department of Electrical and Software Engineering, University of Calgary, Alberta, Canada. Her current research interests include B5G/6G, space-air-ground integrated networks, Internet of vehicles, mobile/edge computing/caching, artificial intelligence (AI) for future networking. She received the N2Women: Rising Stars in Computer Networking and Communications Award in 2024. She received the Best Paper Awards at IEEE GLOBECOM 2018, Chinese Journal on Internet of Things 2020, IEEE GLOBECOM 2022, and IEEE GLOBECOM 2024. Dr. Wu was the Symposium Co-Chair of IEEE GLOBECOM 2024 on Communication QoS, Reliability and Modeling Symposium and the Keynote and Panel Co-chair of IEEE INFOCOM Workshop on Pervasive Network Intelligence for 6G Network from 2022 to 2024. She serves as an Associate Editor in IEEE Communications Surveys & Tutorials since 2024, in IEEE Network since 2023, and in Security and Safety Journal since 2021.
Xuemin (Sherman) Shen (IEEE M'97-SM'02-F'09) received the Ph.D. degree in electrical engineering from Rutgers University, New Brunswick, NJ, USA, in 1990. He is a University Professor with the Department of Electrical and Computer Engineering, University of Waterloo, Canada. His research focuses on network resource management, wireless network security, Internet of Things, 5G and beyond, and vehicular networks. Dr. Shen is a registered
Professional Engineer of Ontario, Canada, an Engineering Institute of Canada Fellow, a Canadian Academy of Engineering Fellow, a Royal Society of Canada Fellow, a Chinese Academy of Engineering Foreign Member, and an International Fellow of the Engineering Academy of Japan.
Dr. Shen received "West Lake Friendship Award" from Zhejiang Province in 2023, President's Excellence in Research from the University of Waterloo in 2022, the Canadian Award for Telecommunications Research from the Canadian Society of Information Theory (CSIT) in 2021, the R.A. Fessenden Award in 2019 from IEEE, Canada, Award of Merit from the Federation of Chinese Canadian Professionals (Ontario) in 2019, James Evans Avant Garde Award in 2018 from the IEEE Vehicular Technology Society, Joseph LoCicero Award in 2015 and Education Award in 2017 from the IEEE Communications Society (ComSoc), and Technical Recognition Award from Wireless Communications Technical Committee (2019) and AHSN Technical Committee (2013). He has also received the Excellent Graduate Supervision Award in 2006 from the University of Waterloo and the Premier's Research Excellence Award (PREA) in 2003 from the Province of Ontario, Canada.
Content
.- Introduction.
.- State-of-the-Art Research for STVN Resource Management.
.- Theoretical Modeling for STVN Performance Analysis.
.- Adaptive Resource Slicing for HD Map Distribution in STVNs.
.- Cooperative Resource Scheduling for Environment Sensing in STVNs.
.- Summary and Future Directions.