IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
12–15 September 2022 // Virtual Conference

Tu02: Wireless Channel Measurements, Characteristics Analysis, and Channel Modeling for 6G Era

Lecturer(s)

Prof. Cheng-Xiang Wang (National Mobile Communications Research Laboratory, School of Information Science and Engineering, 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 4 books, 3 book chapters, and more than 460 papers in refereed journals and conference proceedings, including 25 highly cited papers. He has also delivered 23 invited keynote speeches/talks and 9 tutorials in international conferences. His current research interests include wireless channel measurements and modeling, 6G wireless communication networks, and electromagnetic information theory.
He is a Member of the Academia Europaea (The Academy of Europe), a Fellow of the Royal Society of Edinburgh, IEEE, IET, and China Institute of Communication (CIC), 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 of the IEEE TWC. He has served as an Editor for over ten international journals. He has served as a TPC Member, a TPC Chair, and a General Chair for more than 80 international conferences. He received 14 Best Paper Awards.

Dr. Jie Huang (National Mobile Communications Research Laboratory, School of Information Science and Engineering, 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. 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 more than 50 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 2 tutorials in IEEE/CIC ICCC 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.

Prof. Haiming Wang (State Key Laboratory of Millimeter Wave, School of Information Science and Engineering, 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 distinguished 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 TAP and other peer-reviewed academic journals. He has authored and co- authored over more than 70 patents and 52 patents have been granted. He was awarded twice for contributing to the development of IEEE 802.11aj by the IEEE Standards Association in 2018 and 2020. 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 (iART), AI- powered channel measurement and modeling technologies (iCHAMM), and integrated communications and sensing (iCAS). 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.

Prof. Harald Haas (LiFi Research and Development Centre, Department of Electrical & Electronic Engineering, 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 600 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. He gave a second TED Global lecture in 2015 on the use of solar cells as LiFi data detectors and energy harvesters. 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. He was elected Fellow of the Royal Academy of Engineering (FREng) in 2019.

Abstract

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 on innovative 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, parameter estimation, characteristics analysis, and models.

Motivation and Context

Compared to 4G, 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 the future 6G communication system, we believe it will provide a global coverage by establishing space-air-ground-sea integrated networks, access all available spectra, support full applications, and guarantee endogenous network security. No matter 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 on innovative 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, parameter estimation, characteristics analysis, and models.

Structure and Content

1) Fundamentals of Wireless Channel Characterization

2) Evolution of Wireless Channel Models From 2G to 5G

3) Standard 5G Channel Models

4) 6G Architecture and Key Technologies

5) 6G All-Spectra Channel Measurements and Models

  1. Shortwave Channel Measurements and Models
  2. MmWave Channel Measurements and Models
  3. THz Channel Measurements and Models
  4. Optical Wireless Channel Measurements and Models

6) 6G Global-Coverage Scenario Channel Measurements and Models

  1. Satellite Communication Channel Measurements and Models
  2. UAV Communication Channel Measurements and Models
  3. Maritime Communication Channel Measurements and Models
  4. Underwater Acoustic Communication Channel Measurements and Models

7) 6G Full-Application Scenario Channel Measurements and Models

  1. High-Speed Train Channel Measurements and Models
  2. V2V Channel Measurements and Models
  3. (Ultra) Massive MIMO Channel Measurements and Models
  4. RIS Channel Measurements and Models
  5. Industry IoT Channel Measurements and Models
  6. OAM Channel Measurements and Models

8) Machine Learning based Channel Measurements and Models

9) A 6G Pervasive Wireless Channel Model: Towards Standardization

10) Conclusions and Future Challenges