Joint Optimization of RIS-User Association and Beamforming Design for Multi-RIS-Assisted Multi-User Systems
Abstract: The deployment of multiple reconfigurable intelligent surfaces (RISs) can enhance network coverage and capacity of wireless communication systems. This letter investigates a novel selective allocation scheme in which multiple RISs are spatially distributed to serve wireless users by dynamically controlling the RIS-User association for each RIS and user. The problem is formulated as a joint optimization of active beamforming, passive beamforming and RIS-User association, with the objective of maximizing the system sum-rate. To solve this problem, we propose an iterative algorithm that incorporates an enhanced minimum mean square error-user association (MMSE-UA) method to optimize the RIS-User association and active beamforming. Furthermore, fractional programming (FP) and semidefinite relaxation (SDR) are employed to optimize the passive beamforming. Simulation results demonstrate that the proposed algorithm achieves a higher sum-rate compared to benchmark schemes.
External IDs:dblp:journals/wcl/ChenWZCFL25
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