Wireless innovations Next-generation
Online Workshop(WiNOW)
3-6 November, 2025 // Virtual

Li You
Southeast University

Li You (Senior Member, IEEE) received the B.E. and M.E. degrees from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2009 and 2012, respectively, and the Ph.D. degree from Southeast University, Nanjing, in 2016, all in electrical engineering. From 2014 to 2015, he has conducted a Visiting Research at the Center for Pervasive Communications and Computing, University of California Irvine, Irvine, CA, USA. Since 2016, he has been with the Faculty of the National Mobile Communications Research Laboratory at Southeast University, where he is currently a Full Professor. His research interests lie in the general areas of communications, signal processing, and information theory, with the current emphasis on massive MIMO communications. Dr. You received the National Excellent Doctoral Dissertation Award from the China Institute of Communications (CIC) in 2017, the Young Elite Scientists Sponsorship Program (2019–2021) by the China Association for Science and Technology (CAST), the URSI Young Scientist Award in 2021, the National Natural Science Foundation of China for Outstanding Young Scholars in 2023, and the First Prize of Science and Technology Award of China Institute of Communications in Year 2023. He served as the Wireless Communications Symposium Co-Chair of IEEE ICC 2023 and the Signal Processing for Communications Symposium Co-Chair of IEEE Globecom 2026. He is currently on the editorial board of IEEE SIGNAL PROCESSING LETTERS.

Talk Title: Massive MIMO Transmission for Satellite Communications

Massive multiple-input multiple-output (MIMO) transmission technology enables the in-depth exploitation of spatial-domain wireless resources, offering a promising pathway to substantially enhance both spectral and power efficiency in satellite communication systems. However, directly extending the massive MIMO theories and techniques that have been extensively developed for terrestrial communications to satellite scenarios remains nontrivial due to the unique characteristics. In this talk, we focus on several key topics, including the analysis and statistical modeling of satellite massive MIMO channel propagation characteristics, theoretical methods for channel state information (CSI) acquisition, downlink precoding strategies, and user grouping algorithms. We also provide a preliminary discussion of potential research directions to support the future massive MIMO technology in next-generation satellite communication systems.