Details

Chapter 1. Introduction of Vehicular Communications.- Chapter 2. A NGSM for SISO V2V Channels.- Chapter 3. A 3D RS-GBSM with Uniform Planar Antenna Array for Massive MIMO V2V Channels.- Chapter 4. A 3D IS-GBSM for Massive MIMO V2V Channels.- Chapter 5. A 3D IS-GBSM with Continuously Arbitrary Trajectory for mmWave Massive MIMO V2V Channels.- Chapter 6. A 3D Mixed-Bouncing IS-GBSM with Time-Space Consistency for mmWave Massive MIMO V2V Channels.- Chapter 7. Conclusions and Future Research Directions.<p></p>

<p>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 23 patents. Prof. Cheng is a recipient of the IEEE Asia Pacific Outstanding Young Researcher Award in 2015, a Distinguished Lecturer of IEEE Vehicular Technology Society, a Highly Cited Chinese Researcher since 2020, and Xplorer Prize 2023. He was a co-recipient of the 2016 IEEE JSAC Best Paper Award: Leonard G. Abraham Prize, and the 2021 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, and ICC’19. He has served as the symposium lead chair, co-chair, and member of the Technical Program Committee for several international conferences. Prof. Cheng led the establishment of 3 Chinese standards (including 1 industry standard and 2 group standards) and participated in the formulation of 10 3GPP international standards and 2 Chinese industry standards. 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, and is an IEEE Distinguished Lecturer. In 2021 and 2023, he was selected into two world scientist lists, including World’s Top 2% Scientists released by Stanford University and Top Computer Science Scientists released by Guide2Research.&nbsp;</p>

<p>Ziwei Huang (S’21) received the B.S. degree in communication engineering from Chongqing University, Chongqing, China, in 2019. He is currently working toward the Ph.D. degree with the School of Electronics, Peking University, Beijing, China. His current research interests include wireless communication channel measurements and modeling, including vehicular channel measurements and modeling, UAV channel modeling, and AI-based channel modeling.</p><p>Lu Bai (Member, IEEE) received the Ph.D. degree in Information and Communication Engineering from Shandong University, China, in 2019. From 2017 to 2019, she was also a visiting Ph.D. student at Heriot-Watt University, UK. From 2019 to 2022, she was a post-doc at Beihang University, China. She is currently a professor at Shandong University. Her general research interests are in areas of wireless communications and artificial intelligence, subject on which she has published more than 20 journal and conference papers, 2 books, holds 6 patents, and participated in 3 Chinese standards. Prof. Bai is a recipient of Qilu Young Scholar Award in 2022. She has served as the member of the Technical Program Committee and session chair for several international conferences. She is currently an Associate Editor of IET Communications.</p>

This book presents and develops comprehensive knowledge of vehicular channel characteristics and proper vehicular channel models. The studied topics contain the propagation characteristics of vehicular communications, such as: a time-frequency non-stationary single-input single-output (SISO) vehicle-to-vehicle (V2V) non-geometry stochastic model (NGSM); a space-time non-stationary massive multiple-input multiple-output (MIMO) V2V regular-shaped geometry-based stochastic model (RS-GBSM); and a space-time non-stationary massive MIMO V2V irregular-shaped geometry-based stochastic model (IS-GBSM). Each is introduced, with characteristics then discussed in detail. Finally, this book discusses future research directions to inspire further investigation in the field of vehicular channels from three different perspectives.<div><ul><li>Presents knowledge of vehicular communication channel characteristics and proper vehicular communication channel models;</li></ul></div><div><ul><li>Studies several topics that contain the propagation characteristics of vehicular communications;</li></ul></div><div><ul><li>Includes research directions to inspire investigation in the vehicular channels from a variety of perspectives.</li></ul></div>

Presents knowledge of vehicular communication channel characteristics and proper vehicular communication channel models Studies several topics that contain the propagation characteristics of vehicular communications Includes research directions to inspire investigation in the vehicular channels from a variety of perspectives