Prof. Chengxiang Wang
Southeast University, China

 

Speech Title: 6G/B6G Wireless Channel Map Construction Theory, Methods and Applications

Abstract: This keynote will start with explaining the concepts, significance, and necessity of constructing wireless channel maps for 6G and beyond 6G (B6G) system design. Then, the theory and three 6G/B6G wireless channel map construction methods will be proposed, as well as systematic performance evaluation metrics such as coverage ability, accuracy, construction and updating efficiency, etc. Finally, applying wireless channel maps to 6G system design, including channel estimation and UAV positioning, will also be discussed.

 

Biography: Chengxiang Wang is a Chief Professor at Southeast University. He has been elected as a Member of Academia Europaea (2020), a Member of the European Academy of Sciences and Arts (2022), and a Fellow of the Royal Society of Edinburgh (2022). He is also an IEEE Fellow (2017), an IET Fellow (2012), and has been named a Clarivate "Highly Cited Researcher" (2017–2020, 2025). He currently serves as a member of the Standing Committee of the Party Committee and Vice President of Southeast University.

Born in May 1975 in Gaomi, Shandong Province, he obtained his Bachelor of Science degree in Electronic and Information Systems (1997) and Master of Engineering degree in Communication and Information Systems (2000) from Shandong University, followed by a Ph.D. in Wireless Communications from Aalborg University, Denmark (2004). Beginning in 2005, he worked at Heriot-Watt University in the UK, serving successively as a Lecturer, Associate Professor (2009), and Professor (2011). He joined Southeast University in July 2018 as a Professor and Doctoral Supervisor. He served as Executive Dean (December 2020) and subsequently Dean (April 2025) of the School of Information Science and Engineering.

He has long dedicated himself to teaching and research in the field of wireless communications, specializing in areas such as wireless channel measurement and modeling, 6G ubiquitous intelligent networking, and electromagnetic information theory. He has led over 60 projects, including Major Projects of the National Natural Science Foundation of China, tasks under the National Key R&D Program, and Major Science and Technology Projects of Jiangsu Province, as well as collaborative projects with the UK Engineering and Physical Sciences Research Council (EPSRC), the European Union, and industry partners both domestically and internationally. He has authored four monographs and published over 710 academic papers, including 33 ESI Highly Cited Papers. He has received more than ten significant domestic and international academic awards, including the First Prize in Natural Science from the Chinese Institute of Electronics (2025), the IEEE Neal Shepherd Best Propagation Paper Award (2024), the Excellent Paper Award in the field of Electronic Information from the Chinese Institute of Electronics (2022), and the title of "Top 10 Outstanding Scientific and Technological Workers" of the Chinese Institute of Electronics (2020). He has served as a member of the Executive Editorial Board of *IEEE Transactions on Wireless Communications* and as an editor or guest editor for over ten prestigious international journals; he has delivered keynote and invited speeches at more than sixty international academic conferences and held key leadership roles—such as General Chair and Technical Program Committee Chair—at over thirty international conferences.

Prof. Lingyang Song
Peking University, China

Speech Title: Reconfigurable Holographic Surfaces: A New Paradigm to Ultra-Massive MIMO for 6G

Abstract: To enable a ubiquitous intelligent information network, the forthcoming 6G wireless communications are expected to provide revolutionary mobile connectivity and high-throughput data services through ultra-massive MIMO. Widely-utilized phased arrays relying on costly components make the implementation of ultra-massive MIMO in practice become prohibitive from both cost and power consumption perspectives. To address this issue, we propose reconfigurable holographic surfaces (RHSs), which compose of densely packing sub-wavelength metamaterial elements. The RHS can achieve holographic beamforming without costly hardware components. By leveraging the holographic principle, the RHS serves as an ultra-thin and lightweight surface antenna integrated with the transceiver, thereby providing a promising alternative to phased arrays. In this keynote talk, we will first introduce the unique features of RHSs which enable ultramassive MIMO for both communication and sensing, in a comprehensive way. Typical RHS-based applications for both wireless communications and radio-frequency sensing will be explored. Formalized analysis of several up-to-date challenges and technical details on system design will be provided for different applications.

 

Biography: Lingyang Song is a Boya Distinguished Professor at Peking University, where he directs the Institute of Information and Communication Technology. He received his PhD from the University of York, UK. He worked as a research fellow at the University of Oslo, Norway, and then rejoined Philips Research in UK as a senior research scientist.

He has published extensively in peer-reviewed journals and conferences and received many Best Paper Awards, including IEEE Communications Society Leonard G. Abraham Prize, IEEE Communications Society Heinrich Hertz Award, IEEE Communications Society Asia Pacific Outstanding Paper Award, IEEE ICC, IEEE Globecom 2014, ACM MobiHoc, etc. His h-index is 81, with a total citation exceeding 22,000 according to Google Scholar. He is a Fellow of IEEE.

He has been elected to serve the IEEE Vehicular Technology Society Board of Governors. He has served as a Distinguished Lecturer of IEEE Communications Society, Area Editor of IEEE Transactions on Vehicular Technology, Chair of IEEE Communications Society Cognitive Network Technical Committee, and Vice Director of IEEE Communications Society Asia Pacific Board.

 

Prof. Haixia Peng
Xi'an Jiaotong University, China

 

Speech Title: Radio Map-Enabled UAV-Assisted Low-Altitude Economy Networks (LAENs) : Principles and Applications

Abstract: With the advancement of the low-altitude economy, the demand for communication support and airspace management across various unmanned aerial vehicle (UAV) operations continues to rise. The low-altitude airspace faces practical challenges, including severe signal obstruction and highly dynamic radio environments. Radio maps can provide prior information on the full-scope 3D radio environment, thereby supporting various UAV operations.

Focusing on low-altitude UAV application scenarios, this report elaborates on the technical mechanisms of radio maps and analyzes the limitations of existing approaches. Furthermore, targeting typical use cases such as UAV inspection, logistics delivery, and swarm operations, it illustrates how radio maps empower communication optimization, interference management, and flight decision assistance. Finally, we identify key pain points in industrial implementation and offer technical development recommendations, aiming to facilitate the design of low-altitude communication solutions.

 

Biography: Haixia Peng received the dual Ph.D. degree in computer science and electrical and computer engineering from Northeastern University, Shenyang, China, in 2017, and the University of Waterloo, Waterloo, Canada, in 2021. She is currently a Full Professor with the School of Information and Communications Engineering, Xi’an Jiaotong University, China. From August 2021 to August 2022, she was an Assistant Professor with the Department of Computer Engineering and Computer Science, California State University Long Beach, USA. Her research interests include satellite-terrestrial vehicular networks, multi-access edge computing, resource management, artificial intelligence, and reinforcement learning. She serves/served as a TPC Member for IEEE VTC-Fall 2016 and 2017, IEEE ICCEREC 2018, IEEE GlobeCom 2016–2024, and IEEE ICC 2017–2024 conferences. She serves as an Editor for Peer-to-Peer Networking and Applications and IEEE Internet of Things Magazine.