W19: Signal processing for Reconfigurable antennas-enabled Wireless Communications
Co-Organizer: Jun Fang, University of Electronic Science and Technology of China, China
Co-Organizer: Cunhua Pan, Southeast University, China
Co-Organizer: Hongbin Li, Stevens Institute of Technology, USA
Co-Organizer: Peilan Wang, University of Electronic Science and Technology of China, China
Co-Organizer: Weidong Mei, University of Electronic Science and Technology of China, China
Abstract: The Workshop on Signal Processing for Reconfigurable Antennas-enabled Wireless Communications delves into the transformative potential of reconfigurable antennas (RAs), including Reconfigurable Intelligent Surfaces (RIS), movable antennas (MAs), fluid antennas (FAs), etc., in shaping the future of wireless systems. By enabling real-time adjustments to position, orientation, radiation patterns, and frequency response, RAs unlock new degrees of freedom for optimizing communication performance, adaptability, and energy efficiency. This workshop focuses on cutting-edge signal processing techniques for RA configuration, channel estimation, resource allocation, and AI/ML-driven optimization, addressing key challenges in 5G-Advanced and 6G networks. Through keynote speeches, technical presentations, and interactive discussions, the event fosters interdisciplinary collaboration among researchers, industry experts, and policymakers. It aims to showcase innovative solutions, experimental demonstrations, and practical implementations, accelerating the deployment of RAs in next-generation wireless networks and paving the way for more resilient, efficient, and high-performing communication systems.
Program:
Sunday; 19 October 2025; 14:00-17:30; Room Shu Feng
Keynote 14:05–14:45
Reconfigurable Intelligent Surfaces for 6G: From Research to Deployment
Prof. Linglong Dai, Tsinghua University
Regular Papers 14:45-17:30
- Computation Capacity Maximization for Pinching Antennas-Assisted Wireless Powered MEC Systems
Authors: Peng Liu, Beijing Institute of Technology; Meng Hua, Imperial College London; Guangji Chen, Nanjing University of Science and Technology; Xinyi Wang, Zesong Fei, Beijing Institute of Technology
2. Deep Unfolding Jamming Mitigation for an Integrated Movable Antennas System
Authors: Beihua Zhang, Kui Xu, Army Engineering University of PLA; Guojie Hu, Army Engineering University of PLA, Nanjing; Tao Zhou, Xiaochen Xia, Chen Wei, Kaixin Cheng, Army Engineering University of PLA
3. Rate Region of ISAC With Pinching Antennas
Authors: Chongjun Ouyang, Zhaolin Wang, Queen Mary University of London; Yuanwei Liu, Hongkong University
4. Hybrid Active and Passive Jamming via Intelligent Reflecting Surface
Authors: Zidong Ming, Xinrong Guan, Yunfei Long, Army Engineering University of PLA; Weiwei Yang, Wendong Yang, PLA University of Science and Technology; Lu Lv, Xidian University
5. Joint Beamforming and Location Optimization for Multiple UAV-mounted RISs Assisted Networks
Authors: Zhenqiu Jian, Junjie Ye, Peichang Zhang, Qiang Li, Lei Huang, Shenzhen University
6. Joint Beamforming for RIS-UAV-Assisted LEO Satellite Constellation Communications
Authors: Wenfei Yao, Xiaoming Chen, Qi Wang, Xingyu Peng, Zhejiang University
7. Polarforming Design with Phase Shifter Based Polarization Reconfigurable Antennas
Authors: Zijian Zhou, The Chinese University of Hong Kong, Shenzhen; Jingze Ding, Peking University; Rui Zhang, The Chinese University of Hong Kong, Shenzhen
8. Rate Optimization in Distributed RIS Aided MIMO System Using Soft Actor-Critic Method of DRL
Authors: Ayush B. Patel, Abhishek Jindal, Dhirubhai Ambani, Institute of Information and Communication Technology
9. Blind Interference Suppression for IRS-Aided Communication Systems: A Derivative-free Optimization Approach
Authors: Binyao Ma, University of Electronic Science Technology of China; Bin Wang, National University of Defense Technology
End
Co-Organizer’s Bios:
Jun Fang
Jun Fang (Senior Member) received the B.S. and M.S. degrees from the Xidian University, Xi’an, China in 1998 and 2001, respectively, and the Ph.D. degree from the National University of Singapore, Singapore, in 2006, all in electrical engineering. During 2006, he was a postdoctoral research associate in the Department of Electrical and Computer Engineering, Duke University. From January 2007 to December 2010, he was a research associate with the Department of Electrical and Computer Engineering, Stevens Institute of Technology. Since 2011, he has been with the University of Electronic of Science and Technology of China, where he is currently a Professor. His research interests include compressed sensing and sparse theory, massive MIMO/mmWave communications, and statistical inference. Dr. Fang was the recipient of the IEEE Jack Neubauer Memorial Award in 2013 for the best systems paper published in the IEEE Transactions on Vehicular Technology, and the recipient of the 2024 IEEE Signal Processing Letters Best Paper Award. He served as an Associate Technical Editor for IEEE Communications Magazine from 2012 to 2020, and a Senior Associate Editor for IEEE Signal Processing Letters from 2018 to 2022. He is currently a Member of the IEEE SPS Sensor Array and Multichannel TC.
Cunhua Pan
Cunhua Pan (Senior Member) received the B.S. and Ph.D. degrees from the School of Information Science and Engineering, Southeast University, Nanjing, China, in 2010 and 2015, respectively.
From 2015 to 2016, he was a Research Associate at the University of Kent, U.K. He held the position of Senior Research Associate at Queen Mary University of London, U.K., from 2016 to 2019. From 2019 to 2021, he was a lecturer at the same university. In 2021, he became a full professor at Southeast University. He has published over 120 IEEE journal papers. He is currently an Editor of IEEE Wireless Communication Letters, IEEE Communications Letters, and IEEE ACCESS. He serves as the guest editor for IEEE Journal on Selected Areas in Communications on the special issue on xURLLC in 6G: Next Generation Ultra-Reliable and Low-Latency Communications. He also serves as a leading guest editor of IEEE Journal of Selected Topics in Signal Processing (JSTSP) Special Issue on Advanced Signal Processing for Reconfigurable Intelligent Surface-Aided 6G Networks, leading guest editor of IEEE Vehicular Technology Magazine on the special issue on Backscatter and Reconfigurable Intelligent Surface Empowered Wireless Communications in 6G, a leading guest editor of the IEEE Open Journal of Vehicular Technology on the special issue of Reconfigurable Intelligent Surface Empowered Wireless Communications in 6G and Beyond, and a leading guest editor of the IEEE ACCESS Special Issue on Reconfigurable Intelligent Surface Aided Communications for 6G and Beyond. He is a workshop organizer in IEEE ICCC 2021 on the topic of Reconfigurable Intelligent Surfaces for Next Generation Wireless Communications (RIS for 6G Networks), and a workshop organizer in IEEE Globecom 2021 on the topic of Reconfigurable Intelligent Surfaces for future wireless communications. He is currently the workshops and symposiums officer for the Reconfigurable Intelligent Surfaces Emerging Technology Initiative. He is the workshop chair for IEEE WCNC 2024. He serves as a TPC member for numerous conferences, such as ICC and GLOBECOM, and as the Student Travel Grant Chair for ICC 2019.
Hongbin Li
Hongbin Li (Fellow IEEE) received the B.S. and M.S. degrees from the University of Electronic Science and Technology of China, in 1991 and 1994, respectively, and the Ph.D. degree from the
University of Florida, Gainesville, FL, in 1999, all in electrical engineering. From July 1996 to May 1999, he was a Research Assistant in the Department of Electrical and Computer Engineering at the University of Florida. Since July 1999, he has been with the Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, where he is currently the Charles and Rosanna Batchelor Memorial Chair Professor. He was a Summer Visiting Faculty Member at the Air Force Research Laboratory in the summers of 2003, 2004 and 2009. His general research interests include statistical signal processing, wireless communications, and radars.
Peilan Wang
Peilan Wang (Memeber, IEEE) received the B.Eng. and the Ph.D. degree from the University of Electronic Science and Technology (UESTC), Chengdu, China, in 2018 and 2023, respectively. From 2022 to 2023, she was a Visiting Research Scholar with the Department of Electrical and Computer Engineering, National University of Singapore (NUS). She is now working as a Postdoctoral Research Associate with the National Key Laboratory of Science and Technology on Communications, UESTC. Her current research interests include compressed sensing, millimeter wave/THz communications, intelligent reflecting surface, signal processing, and integrated sensing and communications.
Weidong Mei
Weidong Mei (Member, IEEE) is currently a Professor with the National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China (UESTC). He received the B.Eng. degree and the M.Eng. degree from the UESTC, Chengdu, China, in 2014 and 2017, respectively, and the Ph.D. degree from the NUS Graduate School, National University of Singapore, in 2021. From July 2021 to January 2023, he was a Research Fellow with the Department of Electrical and Computer Engineering, National University of Singapore. His research interests include intelligent antennas, intelligent reflecting surface, and wireless drone communications. Dr. Mei has been listed in World’s Top 2% Scientists since 2021. He is the recipient of the Best Paper Award from the IEEE International Conference on Communications in 2021, the Outstanding Master’s Thesis Award from the Chinese Institute of Electronics in 2017, and the Exemplary Reviewer for various IEEE journals. He serves as an Associate Editor for IEEE Open Journal of the Communications Society.