T9: Recent progress on channel measurement and modeling for 6G

Co-organizer: Jianhua Zhang, Beijing University of Posts and Telecommunications, China
Co-organizer: Pan Tang, Beijing University of Posts and Telecommunications, China
Co-organizer: Yuxiang Zhang, Beijing University of Posts and Telecommunications, China

Abstract: This tutorial will mainly introduce the recent progress in channel measurement and modeling for 6G, including four aspects:

1. Channel measurements and modeling of multi-bands from centimeter to millimeter wave: The propagation mechanisms vary along the frequency domain. We will give a review of the channel measurement, the propagation mechanism modeling, and the channel modeling approach in sub-6GHz, new mid-band, mmWave, and THz bands.

2. Massive MIMO channel measurements and modeling: The spatial non-stationary near-field channel model for massive MIMO is reviewed. As a multi-antenna technology, reconfigurable intelligent surface (RIS) is discussed and the RIS-assisted channel model is reviewed.

3. ISAC channel measurements and modeling research: We will present a channel measurement campaign for the JCAS channel and introduce a stochastic JCAS channel model that can jointly generate communication and sensing channels.

4. Intelligent channel modeling and channel prediction research: Improving the accuracy and reducing the complexity is of critical importance for channel modeling. Various AI methods can be utilized to improve training efficiency and reduce prediction errors. The tutorial will give an introduction to the AI-based channel model and prediction method.

In addition, background and challenges, channel sounding methodologies, and future research directions on channel measurement and modeling for 6G are introduced successively in detail.

 

Co-organizer’s Bios:

Jianhua Zhang

Jianhua Zhang is a professor of information and engineering college, Beijing University of Posts and Telecommunications (BUPT). She received a B.S. degree from the North China University of Technology in 1994 and a Ph.D. degree from the in 2003. Her research interests include beyond 5G and 6G; artificial intelligence; data mining, especially in massive MIMO and terahertz channel modeling; channel emulator. She has published more than 300 articles and authorized 50 patents. She received several paper awards, including the 2019 SCIENCE China Information Hot Paper, the 2016 China Comms Best Paper, and the 2008 JCN Best Paper. She received several prizes for her contribution to ITU-R 4G channel model (ITU-RM.2135), the 3GPP Relay channel model (3GPP 36.814), and the 3GPP 3D channel model (3GPP 36.873). She was a member of 3GPP “5G channel model for bands up to 100 GHz” From 2016 to 2017, she was the Drafting Group (DG) Chairperson of the ITU-R IMT-2020 (5G) channel model and led the drafting of IMT.2412 Channel Model Section. Now, she is the Chairwomen of China IMT-2030 (6G) Tech Group—Channel Measurement And Modeling Subgroup and IEEE ComSoc Channel Modeling Subgroup.

Pan Tang

Pan Tang is an associate researcher in the State Key Laboratory of Networking and Switching Technology, BUPT, China. He received a B.S. degree in Electrical Information Engineering from the South China University of Technology, Guangzhou, China, in 2013 and a Ph.D. degree in Information and Communication Engineering from BUPT in 2019. From 2017 to 2018, he was a Visiting Scholar at the University of Southern California. From 2019 to 2021, he was a Postdoctoral Research Associate at BUPT, China. He has authored and co-authored more than 50 papers in refereed journals and conference proceedings. His current research interests include millimeter wave, terahertz, and visible light channel measurements and modeling.

Yuxiang Zhang

Yuxiang Zhang is a Post-doctoral researcher at BUPT, China. He received a B.S. degree in electronic information engineering from the Dalian University of Technology in 2014 and a Ph.D. degree from the BUPT in 2020. From 2018 to 2019, he was a Visiting Scholar at the University of Waterloo. He has authored and co-authored more than 30 papers in refereed journals and conference proceedings. His current research interests include massive/holographic MIMO, joint communication and sensing, and reconfigurable intelligent surface channel measurement and modeling.