Joint Beamforming and Reflecting Design in Reconfigurable Intelligent Surface-Aided Multi-User Communication Systems
Xiaoyan Ma, Shuaishuai Guo, Haixia Zhang, Yuguang Fang, Dongfeng Yuan

TL;DR
This paper introduces a low-complexity algorithm for joint beamforming and reflecting design in RIS-assisted multi-user systems, optimizing sum rate with practical channel estimation, verified by simulations.
Contribution
It proposes a fractional programming-based joint optimization algorithm that reduces complexity and extends to imperfect CSI scenarios.
Findings
Algorithm achieves higher sum rate than benchmarks.
Low complexity due to problem decomposition and closed-form solutions.
Effective under practical channel estimation conditions.
Abstract
Reconfigurable intelligent surface (RIS) provides a promising way to build the programmable wireless transmission environments in the future. Owing to the large number of reflecting elements used at the RIS, joint optimization for the active beamforming at the transmitter and the passive reflector at the RIS is usually complicated and time-consuming. To address this problem, this paper proposes a low-complexity joint beamforming and reflecting algorithm based on fractional programing (FP). Specifically, we first consider a RIS-aided multi-user communication system with perfect channel state information (CSI) and formulate an optimization problem to maximize the sum rate of all users. Since the problem is nonconvex, we decompose the original problem into three disjoint subproblems. By introducing favorable auxiliary variables, we derive the closed-form expressions of the beamforming…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Optical Wireless Communication Technologies · Underwater Vehicles and Communication Systems
