Yue Gao                                                        
Yue Gao is a Professor at School of Computer Science, and Director of Intelligent Networking and Computing Research Centre at Fudan University. He received the Ph.D. degree from the Queen Mary University of London (QMUL) U.K., in 2007. He has then worked as a Lecturer, Senior Lecturer, Reader and Chair Professor at QMUL and University of Surrey, respectively. His research interests include smart antennas, sparse signal processing and cognitive networks for mobile and satellite systems. He has published over 200 peer-reviewed journal and conference papers and over 5800 citations. He was a co-recipient of the EU Horizon Prize Award on Collaborative Spectrum Sharing in 2016 and elected as an Engineering and Physical Sciences Research Council Fellow in 2017. He is a member of the Board of Governors and Distinguished Lecturer of the IEEE Vehicular Technology Society (VTS), Vice-Chair of the IEEE ComSoc Wireless Communication Technical Committee, past Chair of the IEEE ComSoc Technical Committee on Cognitive Networks. He has been an Editor of several IEEE Transactions and Journals, and Symposia Chair, Track Chair, and other roles in the organising committee of several IEEE ComSoC, VTS and other conferences.

Speech Title: Space-Air-Ground Integrated Network for 6G

Abstract: The space-air-ground integrated network (SAGIN) aims to provide seamless wide area connections, high throughput and strong resilience for B5G and 6G communications. Acting as a crucial link segment of the SAGIN, unmanned aerial vehicle (UAV)-satellite communication has drawn much attention. However, it is a key challenge to track dynamic channel information due to the low earth orbit (LEO) satellite orbiting and three-dimensional (3D) UAV trajectory. This presentation will outline the current development and key challenges of SAGIN including GSO, MEO, LEO satellite, Starlink and 5G NR 3GPP non-terrestrial network (NTN). Some key technologies such as 3D channel tracking between UAV and satellite, and between UAV and ground terminals, beamforming, beam tracking and learning as well as wideband compressive sensing and learning will be briefly introduced.