SPS Webinar: Joint Waveform and Beamforming Design for RIS-Aided ISAC Systems

Date: 13 March 2024
Time: 11:00 AM ET (New York Time)
Presenter(s): Dr. Rang Liu

Original article: Download Open Access article
The original article will be made freely available for download on the day of the webinar for 48 hours.


Reconfigurable intelligent surface (RIS) is a promising technology for 6G networks owing to its superior ability to enhance the capacity and coverage of wireless communications by smartly creating a favorable propagation environment. In this webinar, the presenter investigates the potential of employing RIS in dual-functional radar-communication (DFRC) systems for improving both radar sensing and communication functionalities. In particular, she considers a RIS-assisted DFRC system in which the multi-antenna base station (BS) simultaneously performs both multi-input multi-output (MIMO) radar sensing and multi-user multi-input single-output (MU-MISO) communications using the same hardware platform. She aims to jointly design the dual-functional transmit waveform and the passive beamforming of RIS to maximize the radar output signal-to-interference-plus-noise ratio (SINR) achieved by space-time adaptive processing (STAP), while satisfying the communication quality-of-service (QoS) requirement under one of three metrics, the constant-modulus constraint on the transmit waveform, and the unit-modulus constraint of RIS reflecting coefficients. An efficient algorithm framework based on the alternative direction method of multipliers (ADMM) and majorization-minimization (MM) methods is developed to solve the complicated non-convex optimization problem. Simulation results verify the advancement of the proposed RIS-assisted DRFC scheme and the effectiveness of the developed ADMM-MM-based joint transmit waveform and passive beamforming design algorithm.


Rang Liu (M’24) received the B.S. degree in electronics information engineering and the Ph.D. degree in communication and information systems, both from Dalian University of Technology, Dalian, China, in 2018 and 2023 respectively.

Dr. Liu is currently working as a Postdoctoral Scholar with Prof. Swindlehurst in the Department of Electrical Engineering and Computer Science at University of California, Irvine, CA, USA. Her research interests mainly focus on signal processing, massive MIMO systems, reconfigurable intelligent surfaces, and integrated sensing and communication.