W8: Radio Map for 6G Communications

Co-chair: Wei Zhang, University of New South Wales, Australia
Co-chair: Geoffrey Ye Li, Imperial College London, UK
Co-chair: Shiwen Mao, Auburn University, USA
Co-chair: Wei Wang, Peng Cheng Laboratory, China

Keynote: Shiwen Mao, Auburn University, USA
     Title: On WiFi Radio Map Construction and Localization
     Abstract: With the increasing demand for location-based service, WiFi-based localization has become one of the most popular methods due to the wide deployment of WiFi and its relatively low cost. In this talk, we present a deep Gaussian process based indoor radio map construction and location estimation system. Received signal strength (RSS) samples, as well earth magnetic field readings, are used to generate accurate and fine-grained radio maps with confidence intervals using deep Gaussian process, while the model parameters are optimized with an offline Bayesian training method. Utilizing the maps, an LSTM based location prediction model is pre-trained with the artificial trajectory data and then fine-tuned with the signal measurements collected by the mobile device to be localized. Our extensive experiments demonstrate the excellent performance of the proposed system.

Abstract: The channel of wireless communications is highly dynamic and subject to rapid fluctuations and variations. Understanding the characteristics of radio propagation is essential to optimize the performance of wireless systems. Despite the temporal randomness, the wireless channel is proved to be strongly determined by the surroundings or the environment in which communications take place. By evaluating the propagation models and spectral activities in the area of interest and labelling the acquired characteristics with locations, radio map can be generated to assist the wireless systems. Various radio maps, e.g., pathloss radio map, angle of arrival/angle of departure (AoA/AoD) radio map, and power spectral density (PSD) radio map have already been applied to different aspects of wireless communications and wireless sensing, e.g., optimizing network performance, ensuring wireless coverage, spectrum sharing, location-based beamforming, path planning, and localization. However, the high computational complexity of both radio map construction and radio map query, resulting from the overwhelming amount of electromagnetic (EM) data, has hindered the development of large-scale radio maps with high accuracy. Recently, driven by advancements in machine learning technology, encapsulating EM information into an artificial neural network has brought new opportunities to radio map construction and its potential applications. In the meantime, enabled by the ever-growing computing power on both core network and edge network, the next-generation wireless networks are envisioned to possess the capability of data analytics. Therefore, it is the right time to develop new radio map construction methods and explore new applications of radio map to wireless communications.

Program:

Date: Monday, 24 June 2024
Time: 9:00-12:30
Location: Heliconia 3403 

9:00-9:05 Opening Address by General Co-Chair

9:05-9:50 Keynote by Prof. Shiwen Mao, Auburn University

Technical Session I

9:50-10:10 Recovering High-Resolution Fading Patterns from Sparsely Sampled Indoor REMs. 
Friedrich Burmeister, Anton Krause, Philipp Schulz, Gerhard Fettweis, TU Dresden

10:10-10:30 On the Construction of Channel Gain Map: Model-Based or Model-Free Approach?
Weina Xie, Xiaoli Xu, Zhuoyin Dai, Yong Zeng, Southeast University

10:30 – 11:00 Break

Technical Session II

11:00-11:20 Radio Maps for Beam Alignment in mmWave Communications with Location Uncertainty
Tien Ngoc Ha, Daniel Romero, University of Agder; Roberto López Valcarce,  Universidad de Vigo

11:20-11:40 CKM-Assisted UAV Communication Design
Ting Wang, Harbin Institute of Technology,Shenzhen; Chiya Zhang, Harbin Institute of Technology

11:40-12:00 Deep Machine Learning-based AoD Map and AoA Map Construction for Wireless Networks
Ronghong Mo, Singapore institute of technology; Yiyang Pei, SIT – Singapore; Sumei Sun, Institute for Infocomm Research; Neelakantam Venkatarayalu,, Benjamin Premkumar, SIT – Singapore 

12:00-12:20 Location-based Beamforming Design for Multi-layer RIS assisted MIMO
Hanbing Zhang, Jian Wang, Nanjing University; Ying Li, Peng Cheng Laboratory

 

Keynote Bio:

Shiwen Mao, Auburn University

Bio: Shiwen Mao [S’99-M’04-SM’09-F’19] is a Professor and Earle C. Williams Eminent Scholar, and Director of the Wireless Engineering Research and Education Center at Auburn University. Dr. Mao’s research interest includes wireless networks, multimedia communications, and smart grid. He is a Distinguished Lecturer of IEEE Communications Society and IEEE Council of RFID, and the editor-in-chief of IEEE Transactions on Cognitive Communications and Networking. He received the IEEE ComSoc MMTC Outstanding Researcher Award in 2023, the SEC (Southeastern Conference) 2023 Faculty Achievement Award for Auburn, the IEEE ComSoc TC-CSR Distinguished Technical Achievement Award in 2019, the Auburn University Creative Research & Scholarship Award in 2018, the NSF CAREER Award in 2010, and several service awards from the IEEE. He is a co-recipient of several journal and conference best paper/demo awards from the IEEE.

 

Co-chair Bios:

Wei Zhang

Bio: Prof. Wei Zhang received his PhD degree in Electronic Engineering from the Chinese University of Hong Kong in 2005. He was Research Fellow at the Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology in 2006-2007. In May 2008, he joined the School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, Australia, where he is currently a Professor. His current research interests include space information networks, mmWave communications, and massive MIMO. Currently, he is Vice President of IEEE Communications Society. He is Editor-in-Chief of Journal of Communications and Information Networks and Area Editor of IEEE Transactions on Wireless Communications. He served as Editor-in-Chief of IEEE Wireless Communications Letters from 2016 to 2019. He also served as an Editor for IEEE Transactions on Communications (2015-2018), IEEE Transactions on Cognitive Communications and Networking (2015-2017), IEEE Journal on Selected Areas in Communications – Cognitive Radio Series in 2012-2014 and IEEE Transactions on Wireless Communications (2010-2015). He was Chair of IEEE Wireless Communications Technical Committee in 2019-2020 and Vice Director of IEEE Communications Society Asia Pacific Board from 2016 to 2021. He is Fellow of the IEEE and Fellow of the IET.

Geoffrey Ye Li

Bio: Prof. Geoffrey Ye Li is a Chair Professor at Imperial College London, UK. Before joining Imperial in 2020, he was a Professor at Georgia Institute of Technology, USA, for 20 years and a Principal Technical Staff Member with AT&T Labs – Research (previous Bell Labs) in New Jersey, USA, for five years. He made fundamental contributions to orthogonal frequency division multiplexing for wireless communications, established a framework on resource cooperation in wireless networks, and introduced deep learning to communications. In these areas, he has published over 600 journal and conference papers in addition to over 40 granted patents. His publications have been cited over 62,000 times with an H-index of 115 according to Google Scholar. He has been listed as a Highly Cited Researcher by Clarivate/Web of Science almost every year. Dr. Geoffrey Ye Li (Curriculum Vitae) was elected to IEEE Fellow and IET Fellow for his contributions to signal processing for wireless communications. He won 2024 IEEE Eric E. Sumner Award, 2019 IEEE ComSoc Edwin Howard Armstrong Achievement Award, and several awards from IEEE Signal Processing, Vehicular Technology, and Communications Societies.

Shiwen Mao

Bio: Prof. Shiwen Mao received his Ph.D. in electrical and computer engineering in 2004 from Polytechnic University, Brooklyn, NY. Currently, he is a Professor and Earle C. Williams Eminent Scholar, and Director of the Wireless Engineering Research and Education Center at Auburn University, Auburn, AL. His research interests include wireless networks, multimedia communications, and smart grid. He is the Editor-in-Chief of IEEE Transactions on Cognitive Communications and Networking. He received the 2023 SEC Faculty Achievement Award for Auburn, the 2019 IEEE ComSoc TC-CSR Distinguished Technical Achievement Award, the 2018 Auburn University Creative Research & Scholarship Award, and the NSF CAREER Award in 2010. He is a co-recipient of the 2022 Best Journal Paper Award of IEEE ComSoc eHealth Technical Committee (TC), the 2021 Best Paper Award of Elsevier/KeAi Digital Communications and Networks Journal, the 2021 IEEE Internet of Things Journal Best Paper Award, the 2021 IEEE Communications Society Outstanding Paper Award, the IEEE Vehicular Technology Society 2020 Jack Neubauer Memorial Award, the 2018 Best Journal Paper Award and the 2017 Best Conference Paper Award from IEEE ComSoc Multimedia TC, the 2004 IEEE Communications Society Leonard G. Abraham Prize in the Field of Communications Systems, the Best Demo Award from IEEE INFOCOM 2022 and IEEE SECON 2017, and the Best Paper Awards from IEEE ICC 2022, IEEE GLOBECOM 2019, 2016 & 2015, IEEE WCNC 2015, and IEEE ICC 2013.

Wei Wang

Bio: Dr. Wei Wang is currently a senior research scientist (equivalent to associate professor) with the Peng Cheng Laboratory, Shenzhen, China. Prior to joining PCL, he was a Post-Doctoral Research Fellow with the School of Electrical Engineering and Telecommunications, the University of New South Wales, Sydney, Australia. He received the Ph.D. degree from the same university. His current research interests include mmWave communications and AI in wireless communications. In the related areas, he has published 14 first-authored journal articles. He served as associate editor for IEEE Wireless Communications Letters from 2020 to 2023. He served as technical program co-chair for various academic conferences and AI competitions, including signal processing for communications (SPC) symposium of IEEE/CIC ICCC 2021, and the AI in wireless communications track of the national artificial intelligence competition (NAIC) 2021-2023. He received the best paper award from IEEE/CIC ICCC 2016. He is the prize winner of the wireless communication AI competition (WAIC) 2021. He is the recipient of IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award 2023.

 

To submit a paper, please visit: https://vtc2024s-rr-wks.trackchair.com/track/2258