Research Article
Joint Design of Reflection Coefficients and Beamforming in Double RIS-Assisted System
@INPROCEEDINGS{10.1007/978-3-031-47359-3_7, author={Qiangqiang Yang and Yufeng Chen and Hongwen Yu and Guannan Tan and Antonino Masaracchia and Yong Fang}, title={Joint Design of Reflection Coefficients and Beamforming in Double RIS-Assisted System}, proceedings={Industrial Networks and Intelligent Systems. 9th EAI International Conference, INISCOM 2023, Ho Chi Minh City, Vietnam, August 2-3, 2023, Proceedings}, proceedings_a={INISCOM}, year={2023}, month={10}, keywords={Reconfigurable intelligent surface transmit beamforming programmable reflecting elements geometric mean maximization nonconvex optimization algorithm}, doi={10.1007/978-3-031-47359-3_7} }- Qiangqiang Yang
Yufeng Chen
Hongwen Yu
Guannan Tan
Antonino Masaracchia
Yong Fang
Year: 2023
Joint Design of Reflection Coefficients and Beamforming in Double RIS-Assisted System
INISCOM
Springer
DOI: 10.1007/978-3-031-47359-3_7
Abstract
Reconfigurable intelligent surfaces (RISs) offer a cost-effective approach to creating adaptable wireless communication environments. This study focuses on a double-RIS assisted multi-user network, deploying two RISs near a multi-antenna base station (BS) and a cluster of nearby users. The communication occurs through a cascaded double-reflection link: BS-RIS 1-RIS 2-users. Our objective is to optimize beamforming at the BS and quantized programmable reflecting elements of the RISs to maximize the geometric mean of users’ rates. We present an efficient algorithm that generates improved feasible solutions using closed-form methods. Simulations confirm the algorithm’s effectiveness in enhancing rate fairness among users.
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