T1: 6G Wireless Channels: Measurements, Characteristics Analysis, and Modeling Methodologies
Co-organizer: Cheng-Xiang Wang, Southeast University, China
Co-organizer: Jie Huang, Southeast University, China
Co-organizer: Chen Huang, Purple Moutain Laboratories, China
Co-organizer: Harald Haas, University of Strathclyde, UK
Abstract: Channel measurements and realistic channel models with good accuracy-complexity-pervasiveness tradeoffs are essential for designing, evaluating, and optimizing wireless communication systems. The proposed tutorial aims to address recent advances and future challenges in channel measurement and modeling techniques for sixth generation (6G) wireless communication systems by providing a comprehensive and in-depth course for communication professionals/academics. Network architecture and key technologies for 6G that will enable global coverage, all spectra, and full applications will be discussed first. Channel measurements and non-predictive channel models are then reviewed for challenging 6G scenarios and frequency bands, focusing on millimeter wave, terahertz, and optical wireless communication channels under all spectra, satellite, unmanned aerial vehicle, and maritime communication channels under global coverage scenarios, and vehicle-to-vehicle, ultra-massive multiple-input multiple-output (MIMO), industrial Internet of things (IoT), reconfigurable intelligent surface (RIS), and integrated sensing and communication (ISAC) channels under full application scenarios. New beam domain channel models and artificial intelligence (AI)/machine learning (ML) based space-time-frequency predictive channel models will also be investigated. A non-predictive 6G pervasive channel model for all frequency bands and all scenarios will then be proposed, which is expected to serve as a baseline for future standardized 6G channel models. Finally, future research challenges and trends for 6G channel measurements and models will be discussed at the end of the tutorial.
Organizer’s Bios:
Cheng-Xiang Wang
Cheng-Xiang Wang received the B.Sc. and M.Eng. degrees in Communication and Information Systems from Shandong University, China, in 1997 and 2000, respectively, and the Ph.D. degree in Wireless Communications from Aalborg University, Denmark, in 2004.
He was a Research Assistant with the Hamburg University of Technology, Hamburg, Germany, from 2000 to 2001, a Visiting Researcher with Siemens AG Mobile Phones, Munich, Germany, in 2004, and a Research Fellow with the University of Agder, Grimstad, Norway, from 2001 to 2005. He has been with Heriot-Watt University, Edinburgh, U.K., since 2005, where he was promoted to a Professor in 2011. In 2018, he joined Southeast University, China, as a Professor.
He is also a part-time professor with the Purple Mountain Laboratories, Nanjing, China. He has authored four books, three book chapters, and more than 500 papers in refereed journals and conference proceedings, including 27 Highly Cited Papers. He has also delivered 24 Invited Keynote Speeches/Talks and 16 Tutorials in international conferences. His current research interests include wireless channel measurements and modeling, 6G wireless communication networks, and electromagnetic information theory. Dr. Wang is a Member of the Academia Europaea (The Academy of Europe), a Member of the European Academy of Sciences and Arts (EASA), a Fellow of the Royal Society of Edinburgh (FRSE), IEEE, IET, and China Institute of Communications (CIC), an IEEE Communications Society Distinguished Lecturer in 2019 and 2020, a Highly-Cited Researcher recognized by Clarivate Analytics in 2017-2020, and one of the most cited Chinese Researchers recognized by Elsevier in 2021. He is currently an Executive Editorial Committee Member of the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. He has served as an Editor for over ten international journals, including the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, from 2007 to 2009, the IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, from 2011 to 2017, and the IEEE TRANSACTIONS ON COMMUNICATIONS, from 2015 to 2017. He was a Guest Editor of the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, Special Issue on Vehicular Communications and Networks (Lead Guest Editor), Special Issue on Spectrum and Energy Efficient Design of Wireless Communication Networks, and Special Issue on Airborne Communication Networks. He was also a Guest Editor for the IEEE TRANSACTIONS ON BIG DATA, Special Issue on Wireless Big Data, and is a Guest Editor for the IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, Special Issue on Intelligent Resource Management for 5G and Beyond. He has served as a TPC Member, a TPC Chair, and a General Chair for more than 80 international conferences. He received 15 Best Paper Awards from IEEE GLOBECOM 2010, IEEE ICCT 2011, ITST 2012, IEEE VTC 2013Spring, IWCMC 2015, IWCMC 2016, IEEE/CIC ICCC 2016, WPMC 2016, WOCC 2019, IWCMC 2020, WCSP 2020, CSPS2021, WCSP 2021, and IEEE/CIC ICCC 2022. His Google Scholar citations are in excess of 23100 with an H-index of 73.
Jie Huang
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. Since Nov. 2020, he is an Associate Professor in the National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, China. He has authored and co-authored over 80 papers in refereed journals and conference proceedings. He received 3 Best Paper Awards from WPMC 2016, WCSP 2020, and WCSP 2021. He has also delivered 11 tutorials in IEEE/CIC ICCC 2021, IEEE PIMRC 2021, IEEE ICC 2022, IEEE VTC 2022 Spring, IEEE/CIC ICCC 2022, IEEE PIMRC 2022, IEEE VTC 2022 Fall, IEEE Globecom 2022, IEEE WCNC 2023, IEEE ICC 2023, and IEEE/CIC ICCC 2023. His research interests include millimeter wave, massive MIMO, reconfigurable intelligent surface channel measurements and modeling, wireless big data, and 6G wireless communications.
Chen Huang
Chen Huang received the Ph.D. degrees from Beijing Jiaotong University, Beijing, China, in 2021. From April 2021 to April 2023, He was a Postdoctoral Research Associate in the Pervasive Communication Research Center, Purple Mountain Laboratories, Nanjing, 211111, China, and also in the National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, 210096, China. From 2018 to 2020, he has been a Visiting Scholar with the University of Southern California, Los Angeles, CA, USA and with the Universite Catholique de Louvain (UCL), Louvain-la-Neuve, Belgium. Since April 2023, he is a research assistant professor in the Pervasive Communication Research Center, Purple Mountain Laboratories, and an extramural supervisor in the National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University. Dr. Huang is selected in the Young Elite Scientists Sponsorship Program by China Association for Science and Technology and the Outstanding Postdoctoral Fellow Program in Jiangsu, received two times the Best Paper Award at international conferences, and serves as the Technical Program Committee (TPC) member for several conferences, including Globecom, ICC, VTC-fall, VTC-spring, etc. His research interests include channel characterization, clustering and tracking, channel modeling, and applications of machine learning-based techniques on propagation channel modeling. He has authored/coauthored 1 book chapters, more than 40 journal and conference papers, as well as several patents.
Harald Haas
Harald Haas received the Ph.D. degree in wireless communications from the University of Edinburgh, Edinburgh, U.K., in 2001. He is the Director of the LiFi Research and Development Centre at the University of Strathclyde. He is also the Initiator, co-founder and Chief Scientific Officer of pureLiFi Ltd. He has authored 550 conference and journal papers, including papers in Science and Nature Communications. His main research interests are in optical wireless communications, hybrid optical wireless and RF communications, spatial modulation, and interference coordination in wireless networks. His team invented spatial modulation. He introduced LiFi to the public at an invited TED Global talk in 2011. This talk on Wireless Data from Every Light Bulb has been watched online over 2.72 million times. LiFi was listed among the 50 best inventions in TIME Magazine in 2011. He gave a second TED Global lecture in 2015 on the use of solar cells as LiFi data detectors and energy harvesters. This has been viewed online over 2.75 million times. In 2016, he received the Outstanding Achievement Award from the International Solid State Lighting Alliance. In 2019 he was recipient of IEEE Vehicular Society James Evans Avant Garde Award. Haas was elected a Fellow of the Royal Society of Edinburgh (RSE) in 2017. In the same year he received a Royal Society Wolfson Research Merit Award and was elevated to IEEE Fellow. In 2018 he received a three-year EPSRC Established Career Fellowship extension and was elected Fellow of the IET. Haas was elected Fellow of the Royal Academy of Engineering (FREng) in 2019.