ICCT 2022 Invited Speaker

Yan Zhang, Beijing Institute of Technology, China
张焱, 北京理工大学

Dr. Yan Zhang received the B.Sc. degree in information engineering from the Beijing Institute of Technology, Beijing, China, in 2005 and the Ph.D. degree in information and communication engineering from Tsinghua University, Beijing, China, in 2010. From 2010 to 2013, he was with the Department of Electronic Engineering, Tsinghua University, Beijing, China, as a Post-Doctoral Researcher. From 2014 to 2015, he was a Research Assistant with the School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, U.K. He is currently an Associate Professor with the School of Information and Electronics, Beijing Institute of Technology, Beijing, China.
His main research interests include wireless channel measurement, physical layer security, and Beyond 5G wireless communication networks, including channel modeling, massive MIMO, and physical layer security. He has co-authored 1 book and over 50 papers in refereed journals and conference proceedings.
Dr. Zhang serves as an editor of KSII Transactions on Internet and Information Systems. He serves as reviewers of IEEE Journal on Selected Areas in Communications, IEEE Communication Magazine, IEEE Transactions on Antennas and Propagation, IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Transactions on Signal Processing, IEEE Antennas and Wireless Propagation Letter, IEEE Signal Processing Letter, IEEE Communications Letters, etc.

Speech Title: Characterizations on Non-Stationary Channel Statistics for High-Speed Train Communications

In this paper, results for non-stationary channel statistics based on the wideband high-speed-train (HST) channel measurement in the rich-scattering viaduct scenario are presented. Due to the fast movement of the train, both the fading characteristics and the Doppler-delay statistics change rapidly with time. The measurement campaign is implemented on the Guangzhou-Shenzhen passenger-dedicated railway at a central frequency of 2.4 GHz. The parameters of multi-path components (MPCs) are estimated by the Subspace-Alternating Generalized Expectation-maximization (SAGE) algorithm. The large-scale fading properties and the small-scale Doppler-delay statistics, including path loss, shadow fading, Rician K factor, number of MPCs, root-mean-square (RMS) delay spread, RMS angular spread, power-delay profile (PDP), and Doppler-power spectrum are analyzed. The non-stationary statistical models of the above parameters are given based on the measured results. The correlation property is characterized by the correlation matrix distance (CMD). It is shown that the HST channel in the rich-scattering viaduct scenario has strong non-stationarity characteristics. This work provides references for the design of HST communication systems and promotes technical developments.