Haijun Zhang & Ning Yang 
Deep Learning in Wireless Communications [PDF ebook] 

Introduction to Intelligence Wireless Communication.- Cognitive Spectrum Intelligence.- Learning Resource Allocation Optimization.- Transmission Intelligence.- Learning Traffic and Mobility Prediction.- Software Defined Networking.- Security in Wireless Communication.- 6G Driving Applications with Deep Learning.

Haijun Zhang (Fellow, IEEE) is currently a Full Professor and Dean at University of Science and Technology Beijing, China. He was a Postdoctoral Research Fellow in Department of Electrical and Computer Engineering, the University of British Columbia (UBC), Canada. He serves/served as Track Co-Chair of VTC Fall 2022 and WCNC 2020/2021, Symposium Chair of Globecom’19, TPC Co-Chair of INFOCOM 2018 Workshop on Integrating Edge Computing, Caching, and Offloading in Next Generation Networks, and General Co-Chair of Game Nets’16. He serves as an Editor of IEEE Transactions on Wireless Communications, IEEE Transactions on Information Forensics and Security, and IEEE Transactions on Communications. He received the IEEE CSIM Technical Committee Best Journal Paper Award in 2018, IEEE Com Soc Young Author Best Paper Award in 2017, IEEE Com Soc Asia-Pacific Best Young Researcher Award in 2019. He is a Distinguished Lecturer of IEEE and IEEE Fellow.
Ning Yang is an assistant researcher at the Institute of Automation, Chinese Academy of Sciences (CASIA). Her research areas include reinforcement learning and the application of reinforcement learning in combinatorial optimization. She received her Ph.D. from at University of Science and Technology Beijing in 2020, supervised by Prof. Haijun Zhang. Before joining CASIA, she was a visiting student working with Prof. Randall Berry from 2019 to 2020 at Electrical and Computer Engineering, Northwestern University. She received the Best Paper IEEE 87th Vehicular Technology Conference in 2018.