Wireless innovations Next-generation
Online Workshop(WiNOW)
3-6 November, 2025 // Virtual
Xiaoyan Hu
Xi’an Jiaotong University
Xiaoyan Hu is currently an Associate Professor with the School of Information and Communications Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China. She received her Ph.D. degree in Electronic and Electrical Engineering from University College London (UCL), London, U.K., in 2020. From 2019 to 2021, she was a Research Fellow with the Department of Electronic and Electrical Engineering, UCL, U.K. Her research interests focus on 5G&6G wireless communications, including topics such as edge computing, reconfigurable intelligent surface, UAV communications, integrated sensing and communications (ISAC), secure\&covert communications, and learning-based communications. She has been selected as a recipient for the Young Elite Scientists Sponsorship Program by China Association for Science and Technology (CAST). She is also a recipient of the IEEE Communication Society Big Data 2023 Best Influential Journal Paper Award. From 2020 to 2023, she served as the Assistant to the Editor-in-Chief of IEEE Wireless Communications Letters, and she is currently serving as an Associate Editor for IEEE Wireless Communications Letters. She has also served as a Guest Editor for Electronics on Physical Layer Security and for China Communications Blue Ocean Forum on MAC and Networks.
Talk Title: Frequency Divers RIS (FD-RIS): Unlocking New Potential with Distance-Angle Beamforming
Traditional RIS systems are constrained by the multiplicative fading effect and their one-dimensional beamforming capability in far-field communications, making it difficult to fully meet the stringent requirements of future 6G networks for high reliability, large capacity, and wide coverage. To address this challenge, a promising research direction is to introduce new dimensions into the beamforming process of RIS, thereby enabling multidimensional control to enhance channel conditions and overall system performance, and ultimately overcome the existing limitations. In this context, we propose a novel RIS technology termed as Frequency-Diverse RIS (FD-RIS), which enables dual-dimensional beamforming in both distance and angle domains. Specifically, we first propose two FD-RIS frameworks, establish their corresponding signal processing models, and theoretically verify the feasibility of achieving distance–angle two-dimensional beamforming. Subsequently, FD-RIS is integrated into both single-user and multi-user communication systems to evaluate its performance in representative communication scenarios. Simulation results demonstrate that, thanks to its dual-dimensional beamforming capability, FD-RIS can significantly enhance system capacity while exhibiting high robustness and adaptability to varying transmission environments. Furthermore, considering that conventional RIS only supports angle-domain beamforming, which may lead to potential security blind zones, we introduce FD-RIS into the covert communication systems for the first time. The results reveal that FD-RIS can substantially improve covert communication performance, maintaining strong concealment even when the eavesdropper and the legitimate user are located within overlapping angular regions. This finding highlights the superior robustness and unique advantages of FD-RIS in complex spatial channel environments, offering a new technological pathway for enhancing both the security and communication performance of future 6G intelligent networks.