2024/01/29 by Hao Luo, Luo, Hao, Ahmed Alkhateeb +1
Computer Science · Engineering · #Augmented Reality Applications #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Modular Robots and Swarm Intelligence #Signal Processing (eess.SP) #Spacecraft Design and Technology #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2401.15919
openalex publication_date 2024/01/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Reconfigurable intelligent surfaces, with their large number of antennas, offer an interesting opportunity for high spatial-resolution imaging. In this paper, we propose a novel RIS-aided integrated imaging and communication system that can reduce the RIS beam training overhead for communication by leveraging the imaging of the surrounding environment. In particular, using the RIS as a wireless imaging device, our system constructs the scene depth map of the environment, including the mobile user. Then, we develop a user detection algorithm that subtracts the background and extracts the mobile user attributes from the depth map. These attributes are then utilized to design the RIS interaction vector and the beam selection strategy with low overhead. Simulation results show that the proposed approach can achieve comparable beamforming gain to the optimal/exhaustive beam selection solution while requiring 1000 times less beam training overhead.