An Overview.- Channel Estimation Design for Narrowband mmWave Hybrid massive MIMO.- Channel Estimation Design for broadband mmWave Hybrid massive MIMO.- Close-loop Channel Estimation Design for mmWave Full-dimensional massive MIMO.- Terahertz Ultra-Massive MIMO in Space-Air-Ground Integrated Networks.- Terahertz Massive MIMO With Holographic Reconfigurable Intelligent Surfaces.- Multi-user multi-stream Hybrid Precoding for mmWave MIMO-OFDM Systems.- Conclusions and Future Visions.
Zhen Gao received the B.S. degree in information engineering from Beijing Institute of Technology, Beijing, China, in 2011, and the Ph.D. degree in communication and signal processing from Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, China, in 2016. He is currently an Associate Professor with Beijing Institute of Technology. His research interests are in wireless communications, with a focus on multi-carrier modulations, multiple antenna systems, and sparse signal processing. He was a recipient of the IEEE Broadcast Technology Society 2016 Scott Helt Memorial Award (Best Paper), the Exemplary Reviewer of IEEE Communications letters in 2016, the IET Electronics Letters Premium Award (Best Paper) 2016, the Young Elite Scientists Sponsorship Program (2018–2020) from China Association for Science and Technology, Elsevier 2020 Highly Cited Scholars in China, First Prize of Natural Science of Chinese Institute of Electronics. He is the associate editor of IEEE Communications letters and IEEE Systems Journal.
The book focuses on the advanced mmWave/Sub-terahertz ultra-massive MIMO wireless communications, which are regarded as a promising paradigm shift in future 5G beyond and even 6G. This is achieved by providing a comprehensive review of the rapidly developing field of massive MIMO communication, in-depth discussions on the impact of extremely large-scale antenna array, and detailed numerical simulation results on our proposed schemes. Several case studies are given after introducing basic communication system components, and the simulation codes are open sourced in our book, which shows the reproducibility of our models and methods and provides convenience for readers such as researchers, engineers, and graduate students in the fields of wireless communications.