Wireless innovations Next-generation
Online Workshop (WiNOW)
3-7 November, 2025 // Virtual
Gui Zhou
Huazhong University of Science and Technology
Gui Zhou received the B.S. and M.E. degrees in Information and Electronics from Beijing Institute of Technology, Beijing, China, in 2015 and 2019, respectively, and the Ph.D. degree in Electronic Engineering and Computer Science from Queen Mary University of London, U.K. in 2022. She was a Humboldt Post-Doctoral Research Fellow and a Post-Doctoral Research Fellow at the Institute for Digital Communications from Friedrich-Alexander Universität of Erlangen-Nüremberg (FAU), Erlangen, Germany, from 2022-2025. She is currently a professor at the School of Electronic Information and Communication from Huazhong University of Science and Technology (HUST), Wuhan, China. Her major research interests include channel estimation, transceiver design, integrated sensing and communication, and array signal processing. She received the 2024 IEEE SPS Best PhD Dissertation Award and the best paper award for WCNC2022. She is currently an Editor of IEEE Transactions on Communications.
Talk Title: Radar Rainbow Beams For Wideband mmWave Communication: Beam Training And Tracking
This talk presents a novel integrated sensing and communication (ISAC) framework for millimeter-wave (mmWave) wideband systems in line-of-sight (LoS) environments. By leveraging true-time delayers (TTDs), we generate frequency-dependent “radar rainbow” beams that exploit the beam squint effect to simultaneously cover the full angular space using just one OFDM symbol—enabling rapid beam training and initial access. We propose three sensing-based schemes to estimate user direction, distance, and velocity for beamformer design. The baseline scheme uses a single-antenna receiver and one rainbow beam set, while two enhanced versions address Doppler ambiguity using either dual beam sets or a multi-antenna receiver. Additionally, the framework supports seamless user tracking by selecting different OFDM subcarriers without reconfiguring phase shifters or TTDs, as required in existing methods. This work highlights the potential of tightly integrating sensing into mmWave communication to achieve low-latency, high-reliability access and tracking.