Instructors
Dr. Cheng-Xiang Wang, chxwang@seu.edu.cn
Southeast University and Purple Mountain Laboratories, China
Prof. 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 has been with Heriot-Watt University, Edinburgh, United Kingdom, since 2005 and became a professor in 2011. In 2018, he joined Southeast University, China, and Purple Mountain Laboratories, China, as a professor. He is now the Executive Dean of the School of Information Science and Engineering, Southeast University.
He has authored four books, three book chapters, and more than 410 papers in refereed journals and conference proceedings, including 24 Highly Cited Papers. He has also delivered 22 Invited Keynote Speeches/Talks and 7 Tutorials in international conferences. His current research interests include wireless channel measurements and modeling & 6G wireless communication networks.
Prof. Wang is a member of the Academia Europaea, a fellow of the IEEE and IET, an IEEE Communications Society Distinguished Lecturer in 2019 and 2020, and a Highly-Cited Researcher recognized by Clarivate Analytics, in 2017-2020. He is currently an Executive Editorial Committee member for the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. He has served as an Editor for nine 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 has served as a TPC Co-Chair, General Chair, and Track Co-Chair for over 30 international conferences. He received twelve Best Paper Awards from IEEE GLOBECOM 2010, IEEE ICCT 2011, ITST 2012, IEEE VTC 2013-Spring, IWCMC 2015, IWCMC 2016, IEEE/CIC ICCC 2016, WPMC 2016, WOCC 2019, IWCMC 2020, and WCSP 2020. Also, he received the “2020 AI 2000 Most Influential Scholar Award Honorable Mention” in recognition of his outstanding and vibrant contributions in the field of Internet of Things between 2009 and 2019.
Dr. Haiming Wang, hmwang@seu.edu.cn
Southeast University and Purple Mountain Laboratories, China
Prof. Haiming Wang received the B.Eng., M.S., and Ph.D. degrees in Electrical Engineering from Southeast University, Nanjing, China, in 1999, 2002, and 2009, respectively. Since 2002, he has been with the State Key Laboratory of Millimeter Waves, School of Information Science and Engineering, Southeast University, China, and he is currently a professor. He is also a part-time professor with the Purple Mountain Laboratories, Nanjing, China. In 2008, he was a Visiting Scholar with the Blekinge Institute of Technology (BTH), Sweden.
He has authored and co-authored over 50 journal papers in IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION and other peer-reviewed academic journals. Prof. Wang has authored and co-authored over more than 70 patents and 52 patents have been granted. He received the first-class Science and Technology Progress Award of Jiangsu Province of China in 2009 and was awarded for contributing to the development of IEEE 802.11aj by the IEEE-SA in 2018. His current research interests include AI-powered antenna and radiofrequency technologies, AI-powered channel measurement and modeling technologies, and millimeter-wave and THz wireless communications. He is currently serving as the vice chair of IEEE 802.11aj Task Group. He served as the TPC member or the session chair of many international conferences such as IEEE ICCT 2011, IEEE IWS 2013, and IEEE VTC 2016.
Dr. Jie Huang, j_huang@seu.edu.cn
Southeast University and Purple Mountain Laboratories, China
Dr. 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. Now he is a Lecturer in the National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, China.
He has authored and co-authored more than 30 papers in refereed journals and conference proceedings. He received the Best Paper Awards from WPMC 2016 and WCSP 2020. His research interests include millimeter wave, massive MIMO, intelligent reflecting surface channel measurements and modeling, wireless big data, and 6G wireless communications.
Dr. Harald Haas, harald.haas@strath.ac.uk
University of Strathclyde, UK
Prof. 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.
Motivation
Compared to the fourth generation (4G), fifth generation (5G) systems can provide higher spectrum efficiency, network energy efficiency, area traffic capacity, connection density, peak data rate, user experienced data rate, mobility, and much less latency. For future 6G communication systems, we believe it will provide a global coverage by establishing space-air-ground-sea integrated networks, access all available spectra, support full applications with the aids of artificial intelligence (AI) technologies, and guarantee endogenous network security. Nomatter what the eventual systems will be, it is apparent that 5G cellular networks are coming to the commercial deployment stage, while the research of 6G is starting. The fundamental questions are: What channel models and evaluation methodologies shall be used for the analysis, design, and optimization of 6G technologies? How to compare different 6G proposals with a widely accepted standardized channel model? What channel measurements are available to support 6G channel models? What are the potential 6G technologies and channel models?
The fundamental and radical paradigm-shift in 6G network design and architecture requires cross-sectoral skills and background, which can very unlikely be realized by researchers that have not received sufficient training oninnovative technologies and adequate methodological tools to their analysis. The fundamental objective of this tutorial is to offer academic and industrial researchers, graduate students, and professors a crash course on these essential elements that are expected to significantly shape 6G wireless communication systems. More specifically, this tutorial will aim to address recent advances and future challenges on 6G related channel measurements and models.
Structure and content
- Fundamentals of Wireless Channel Characterization
- Evolution of Wireless Channel Models From 2G to 5G
- Standard 5G Channel Models
- 6G Architecture and Key Technologies
- 6G All-Spectra Channel Measurements and Models
- MmWave Channel Measurements and Models
- THz Channel Measurements and Models
- Optical Wireless Channel Measurements and Models
- 6G Global-Coverage Scenario Channel Measurements and Models
- Satellite Communication Channel Measurements and Models
- UAV Communication Channel Measurements and Models
- Maritime Communication Channel Measurements and Models
- 6G Full-Application Scenario Channel Measurements and Models
- (Ultra) Massive MIMO Channel Measurements and Models
- High-Speed Train Channel Measurements and Models
- V2V Channel Measurements and Models
- Industry IoT Channel Measurements and Models
- IRS Channel Measurements and Models
- Machine Learning based Channel Measurements and Models
- A General 6G Wireless Channel Model: Towards Standardization
- Conclusions and Future Challenges