AI-enabled Spectrum Sharing

  Lin Zhang received the bachelor’s degree in communication engineering from Sichuan University, Chengdu, China, in 2011, and the Ph.D. degree from the National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China (UESTC), Chengdu, in 2017. From October 2014 to April 2016, he worked as a visiting student with the School of Electrical Engineering, Royal Institute of Technology (KTH), Sweden. He is currently an associate professor with UESTC. His research interests include cognitive radio, non-orthogonal multiple access, and intelligent wireless communications. He was a recipient of IEEE GLOBECOM 2012 Best Paper Award and the Student Travel Grant Award, IEEE ICC 2019 Best Paper Award, IEEE Region 10 Distinguished Student Paper Award in 2016, First Prize of Excellent Paper in the First Sichuan-Chongqing Science and Technology Academic Conference in 2020, and First Prize of Natural Science of Chinese Society of Electronics in 2023. Ming Xiao received Bachelor and Master degrees in Engineering from the University of Electronic Science and Technology of China, ChengDu in 1997 and 2002, respectively. He received Ph.D. degree from Chalmers University of technology, Sweden, in November 2007. From November 2007 to now, he has been in the department of information science and engineering, school of electrical engineering and computer science, Royal Institute of Technology, Sweden, where he is currently a Professor. He was an editor for IEEE Transactions on Communications (2012–2017), IEEE Communications Letters (Senior Editor Since January 2015), and IEEE Wireless Communications Letters (2012–2016), and has been an editor for IEEE Transactions on Wireless Communications since 2018. He has been an area editor for IEEE Open Journal of the Communication Society since 2019. He received IEEE Vehicular Technology Society Best Magazine Paper Award 2023. Zicun Wang received the B.E. degree in telecommunication engineering from Zhengzhou University, in 2021. He is currently working toward the Ph.D. degree with National Key Laboratory of Wireless Communications, in the University of Electronic Science and Technology of China (UESTC), Chengdu, China. His research interests include space-air-ground integrated networks, beam training, and intelligent wireless communications. Wanbin Tang received the B.E., M.E., and Ph.D. degrees in electrical engineering from the University of Electronic Science and Technology of China (UESTC), in 1993, 1998, and 2013, respectively. From 2006 to 2007, he was a visiting scholar with the University of California at Berkeley, Berkeley, CA, USA. He is currently a professor with the National Key Laboratory of Science and Technology on Communications, UESTC. His current research interests include cognitive radio and signal processing in wireless communication.

Chapter 1 Introductions and Preliminaries.- Chapter 2 AI-Enabled opportunistic Spectrum Sharing.- Chapter 3 AI-Enabled Centralized Spectrum Sharing.- Chapter 4 AI-Enabled Distributed Spectrum Sharing.- Chapter 5: Conclusions.