Joint Active and Passive Beamforming Optimization for Beyond Diagonal RIS-aided Multi-User Communications

Fuente: arXiv
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Main Authors: Zhou, Xiaohua, Fang, Tianyu, Mao, Yijie
Format: Preprint
Published: 2025
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author Zhou, Xiaohua
Fang, Tianyu
Mao, Yijie
author_facet Zhou, Xiaohua
Fang, Tianyu
Mao, Yijie
contents Benefiting from its capability to generalize existing reconfigurable intelligent surface (RIS) architectures and provide additional design flexibility via interactions between RIS elements, beyond-diagonal RIS (BD-RIS) has attracted considerable research interests recently. However, due to the symmetric and unitary passive beamforming constraint imposed on BD-RIS, existing joint active and passive beamforming optimization algorithms for BD-RIS either exhibit high computational complexity to achieve near optimal solutions or rely on heuristic algorithms with substantial performance loss. In this paper, we address this issue by proposing an efficient optimization framework for BD-RIS assisted multi-user multi-antenna communication networks. Specifically, we solve the weighted sum rate maximization problem by introducing a novel beamforming optimization algorithm that alternately optimizes active and passive beamforming matrices using iterative closed-form solutions. Numerical results demonstrate that our algorithm significantly reduces computational complexity while ensuring a sub-optimal solution.
format Preprint
id arxiv_https___arxiv_org_abs_2501_10227
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Joint Active and Passive Beamforming Optimization for Beyond Diagonal RIS-aided Multi-User Communications
Zhou, Xiaohua
Fang, Tianyu
Mao, Yijie
Signal Processing
Information Theory
Benefiting from its capability to generalize existing reconfigurable intelligent surface (RIS) architectures and provide additional design flexibility via interactions between RIS elements, beyond-diagonal RIS (BD-RIS) has attracted considerable research interests recently. However, due to the symmetric and unitary passive beamforming constraint imposed on BD-RIS, existing joint active and passive beamforming optimization algorithms for BD-RIS either exhibit high computational complexity to achieve near optimal solutions or rely on heuristic algorithms with substantial performance loss. In this paper, we address this issue by proposing an efficient optimization framework for BD-RIS assisted multi-user multi-antenna communication networks. Specifically, we solve the weighted sum rate maximization problem by introducing a novel beamforming optimization algorithm that alternately optimizes active and passive beamforming matrices using iterative closed-form solutions. Numerical results demonstrate that our algorithm significantly reduces computational complexity while ensuring a sub-optimal solution.
title Joint Active and Passive Beamforming Optimization for Beyond Diagonal RIS-aided Multi-User Communications
topic Signal Processing
Information Theory
url https://arxiv.org/abs/2501.10227