Bio:

Bo Ai (Fellow, IEEE) received the M.S. and Ph.D. degrees from Xidian University, Xian, China, in 2002 and 2004, respectively. He was with Tsinghua University, Beijing, China, where he was an Excellent Postdoctoral Research Fellow in 2007. He was a Visiting Professor with the Electrical Engineering Department, Stanford University, Stanford, CA, USA, in 2015. He is currently a Full Professor with Beijing Jiaotong University, Beijing, where he is the Dean of the School of Electronic and Information Engineering, Deputy Director of the State Key Laboratory of Rail Traffic Control and Safety, and Deputy Director of the International Joint Research Center. He is one of the directors of the Beijing Urban Rail Operation Control System International Science and Technology Cooperation Base and Backbone Member of the Innovative Engineering based jointly granted by the Chinese Ministry of Education and the State Administration of Foreign Experts Affairs. He is the Research Team Leader of 26 national projects. He holds 26 invention patents. His research interests include the research and applications of channel measurement, channel modeling, and dedicated mobile communications for rail traffic systems. He has authored or coauthored eight books and authored more than 300 academic research articles in his research area. Five papers have been the ESI highly cited paper. He was the recipient of some important scientific research prizes. He has been notified by the Council of Canadian Academies that based on the Scopus database and listed as one of the top 1% authors in his field all over the world. He was also the recipient of Distinguished Youth Foundation and Excellent Youth Foundation from the National Natural Science Foundation of China, the Qiushi Outstanding Youth Award. He has also been feature-interviewed by the IET Electronics Letters. Dr. Ai is a fellow of The Institution of Engineering and Technology and an IEEE VTS Distinguished Lecturer.

Abstract:

The future of wireless communication is set to be more diverse and dynamic, with a wider range of scenarios and services. The emergence of satellite internet, smart railways, maritime communications, and unmanned aerial vehicles has expanded the communication demands. The wireless channel is the medium through which communication occurs and is one of the fundamental factors determining wireless communication capacity and system performance. Consequently, the evolution of wireless communication technologies also presents new challenges and demands for channel modeling. This report, based on our team’s research achievements in the field of wireless channel measurement and modeling, highlights the latest advancements and findings in three typical scenarios: massive MIMO, high-speed mobility, and millimeter-wave integrated communication and sensing. The report covers specific content such as channel measurement methods, analysis of measured results, channel modeling, and simulation methods. Finally, the report offers a perspective on the research prospects and development directions for channel modeling in future wireless systems.