Intelligent Resource Management in Vehicular Networks [Hardcover]

This book provides a comprehensive investigation on new technologies for future vehicular networks. The authors propose different schemes to efficiently manage the multi-dimensional resources for supporting diversified applications. The authors answer the questions of why connected and automated vehicle technology should be considered; how the multi-access edge computing (MEC) and unmanned aerial vehicle (UAV) technologies can be helpful to vehicular networks; how to efficiently manage the multi-dimensional resources to support different vehicular applications with guaranteed quality-of-service (QoS) requirements; and how to adopt optimization and AI technologies to achieve resource management in vehicular networks. The book is pertinent to researchers, professionals, academics and students in vehicular technologies.

Introduction.- Overview of Vehicular Networks.- Resource Management in Vehicular Networks.- MEC-Assisted Vehicular Networks.- Spectrum Resource Management in MEC-Assisted ADVNETs.- Multi-Dimensional Resource Management in MVNETs.- Multi-Dimensional Resource Management in UAV-Assisted MVNETs.- Conclusion.

Haixia Peng (Member, IEEE) received her M.S., first Ph.D., and second Ph.D. degrees in Electronics and Communication Engineering, Computer Science, and Electrical and Computer Engineering from Northeastern University, Shenyang, China, in 2013 and 2017, and University of Waterloo, Waterloo, Canada in 2021, respectively. She is now an assistant professor with the Department of Computer Engineering and Computer Science, California State University Long Beach, Long Beach, CA, USA. Her current research focuses on satellite-terrestrial vehicular networks, multi-access edge computing, resource management, and reinforcement learning. She served as a Technical Program Committee (TPC)  member in IEEE VTC-fall 2016\&2017, IEEE ICCEREC 2018, IEEE Globecom 2016-2021, and IEEE ICC l#+