This book investigates and reviews recent advanced techniques and important applications in vehicular communications and networking (VCN) from a novel perspective of the combination and integration of VCN and connected vehicles, which provides a significant scientific and technical support for future 5G-based VCN.
5G-Enabled Vehicular Communications and Networking
introduces vehicular channel characteristics, reviews current channel modeling approaches, and then provides a new generic geometry-based stochastic modeling approach for vehicle-to-everything (V2X) communications. The investigation of vehicular channel measurements and modeling provides fundamental supports for the VCN system design. Then, this book investigates VCN-vehicle combination from PHY and MAC layers, respectively. As for the PHY layer, many advanced techniques that can be effectively applied in VCN to counter the PHY challenges are introduced, including novel ICI cancellation methods, index modulated OFDM, differential spatial modulation, and energy harvesting relaying.
As for the MAC layer, distributed and centralized MAC designs are analyzed and compared in terms of feasibility and availability. Specifically, distributed congestion control, D2D-enabled vehicular communications, and centralized data dissemination scheduling are elaborated, which can significantly improve the network performance in vehicular networks. Finally, considering VCN-vehicle integration, this book introduces several hot-topic applications in vehicular networks, including electric vehicles, distributed data storage, unmanned aerial vehicles, and security and privacy, which indicates the significance and development value of VCN-vehicle integration in future vehicular networks and our daily life.
The primary audience for this book includes professionals and researchers working in the field of vehicular communications, intelligent transportation systems (ITS), and Internet of vehicles (IoV). Advanced level students studying electrical engineering will also find this book useful as a secondary textbook for related courses.
Series
Edition
Language
Place of publication
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
65 farbige Abbildungen, 6 s/w Abbildungen
IX, 177 p. 71 illus., 65 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 16 mm
Weight
ISBN-13
978-3-030-02175-7 (9783030021757)
DOI
10.1007/978-3-030-02176-4
Schweitzer Classification
Dr. Xiang Cheng (S'05-M'10-SM'13-F'22) received the Ph.D. degree jointly from Heriot-Watt University and the University of Edinburgh, Edinburgh, U.K., in 2009. He is currently a Boya Distinguished Professor of Peking University. His general research interests are in areas of channel modeling, wireless communications, and data analytics, subject on which he has published more than 280 journal and conference papers, 9 books, and holds 17 patents. Prof. Cheng is a Distinguished Young Investigator of China Frontiers of Engineering, a recipient of the IEEE Asia Pacific Outstanding Young Researcher Award in 2015, a Distinguished Lecturer of IEEE Vehicular Technology Society, and a Highly Cited Chinese Researcher in 2020. He was a co-recipient of the 2016 IEEE JSAC Best Paper Award: Leonard G. Abraham Prize, and IET Communications Best Paper Award: Premium Award. He has also received the Best Paper Awards at IEEE ITST'12, ICCC'13, ITSC'14, ICC'16, ICNC'17, GLOBECOM'18, ICCS'18, andICC'19. He has served as the symposium lead chair, co-chair, and member of the Technical Program Committee for several international conferences. He is currently a Subject Editor of IET Communications and an Associate Editor of the IEEE Transactions on Wireless Communications, IEEE Transactions on Intelligent Transportation Systems, IEEE Wireless Communications Letters, and the Journal of Communications and Information Networks.
Shijian Gao (S'20) received the B.Sc. and M.Sc. degrees from Nankai University and Peking University in 2014 and 2017, respectively, both in electrical engineering. He is currently working towards the Ph.D. degree with the Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis. His research interests are in the areas of wireless communications and related fields.
Dr. Liuqing Yang (S'02-M'04-SM'06-F'15) received the Ph.D. degree in electrical and computer engineering from the Universityof Minnesota, Minneapolis, MN, USA, in 2004. She is currently a Professor with Hong Kong University of Science and Technology (Guangzhou). Her general interests are in signal processing with applications to communications, networking, and power systems-subjects on which she has published more than 370 journal and conference papers, four book chapters, and five books. Dr. Yang was a recipient of the ONR Young Investigator Program Award in 2007, and the NSF Faculty Early Career Development (CAREER) Award in 2009, the Best Paper Award at the IEEE ICUWB'06, ICCC'13, ITSC'14, Globecom'14, ICC'16, WCSP'16, Globecom'18, ICCS'18, and ICC'19. She is the Editor-in-Chief for IET Communications, Senior Editor for IEEE Transactions on Signal Processing, and the Executive Editorial Committee member for IEEE Transactions on Wireless Communications. She has served as an Associate/Senior Editor for IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Transactions onSignal Processing, the IEEE Transactions on Intelligent Transportation Systems, IEEE Intelligent Systems, and PHYCOM: Physical Communication, and as the program chair and the track/symposium or TPC chair for many conferences.
1 Introduction 5G-Enabled VCN.- 2 Vehicular Channel Characteristics and Modeling.- 3 Wireless-Vehicle Combination: Advanced PHY Techniques in VCN.- 4 Wireless-Vehicle Combination: Effective MAC Designs in VCN.- 5 Wireless-Vehicle Integration: VCN-Based Applications.
