Workshop 13: 6G Wireless Communication Networks
Title: 6G Wireless Channel Measurements, Characteristics Analysis, and Channel Modeling

Keywords: 6G, wireless communications, channel measurements, channel modeling

The research on sixth generation (6G) wireless communication networks are launching worldwide.The 6G vision and paradigm shifts are summarized as global coverage, all spectra, full applications, and strong security. New performance metrics are introduced, such as global coverage, cost efficiency, intelligence level, security capacity, reliability, positioning precision, etc. To meet these requirements, 6G networks will rely on new key technologies, i.e., air interface and transmission technologies and novel network architecture.The underlying 6G wireless channels will face new channel characteristics, such as space-time-frequency non-stationarities, which need to be thoroughly studied. We can classify 6G wireless channels as sub-6 GHz, millimeter wave, terahertz, and optical wireless communication channels under all spectra, satellite, unmanned aerial vehicle, maritime, and underwater acoustic communication channels under global coverage scenarios, and high-speed train, vehicle-to-vehicle, ultra-massive multiple-input multiple-output (MIMO), industry Internet of things (IoT), reconfigurable intelligent surface (RIS), and orbital angular momentum (OAM) communication channels under full application scenarios. Channel measurements are urgently needed for new frequency bands, scenarios, and key technologies. Meanwhile, many channel modeling methods are applied, including the deterministicray tracing simulation, correlation based stochastic model (CBSM), geometry based stochastic model (GBSM), beam domain channel model (BDCM), machine learning based channel model, etc.The aim of this workshop is to bring together the research accomplishments provided by researchers from academia and the industry, as well as to offer a comprehensive discussion on the recent advances and future challenges of 6G wireless channel measurements and modeling.
Chair: Assoc. Prof. Jie Huang |
Southeast University /Purple Mountain Laboratories
Jie Huang received the B.E. degree in Information Engineering from Xidian University, China, in 2013, and the Ph.D. degree in Information and Communication Engineering from Shandong University, China, in 2018. From Oct. 2018 to Oct. 2020, he was a Postdoctoral Research Associate in the National Mobile Communications Research Laboratory, Southeast University, China, supported by the National Postdoctoral Program for Innovative Talents. From Jan. 2019 to Feb. 2020, he was a Postdoctoral Research Associate in Durham University, U.K. Since Mar. 2019, he is a part-time researcher in Purple Mountain Laboratories, China. He has authored and co-authored more than 40 papers in refereed journals and conference proceedings. He received the Best Paper Awards from WPMC 2016, WCSP 2020, and WCSP 2021. He has served as a TPC Member for IEEE/CIC ICCC 2017, 2018, and 2021, and delivered 2 tutorials in IEEE/CIC 2021 and IEEE PIMRC 2021. His research interests include millimeter wave, massive MIMO, reconfigurable intelligent surface channel measurements and modeling, wireless big data, and 6G wireless communications.