Optimizing Rate-CRB Performance for Beyond Diagonal Reconfigurable Intelligent Surface Enabled ISAC

Fuente: arXiv
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Hauptverfasser: Zhang, Xiaoqi, Liu, Liang, Zhang, Shuowen, Zhu, Weifeng, Zhang, Haijun
Format: Preprint
Veröffentlicht: 2025
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author Zhang, Xiaoqi
Liu, Liang
Zhang, Shuowen
Zhu, Weifeng
Zhang, Haijun
author_facet Zhang, Xiaoqi
Liu, Liang
Zhang, Shuowen
Zhu, Weifeng
Zhang, Haijun
contents This letter considers a beyond diagonal reconfigurable intelligent surface (BD-RIS) aided integrated sensing and communication (ISAC) system, where the BD-RIS can help a multi-antenna base station (BS) serve multiple user equipments (UEs) and localize a target simultaneously. We formulate an optimization problem that designs the BS beamforming matrix and the BD-RIS scattering matrix to maximize UEs' sum rate subject to a localization Cramer-Rao bound (CRB) constraint and an additional unitary matrix constraint for the scattering matrix. Because unitary matrices form a manifold, our problem belongs to constrained manifold optimization. This letter proposes a log-barrier based Riemannian steepest ascent method to solve this problem effectively. Numerical results verify the effectiveness of our algorithm and the performance gain of the BD-RIS aided ISAC systems over the conventional RIS aided ISAC systems.
format Preprint
id arxiv_https___arxiv_org_abs_2508_11295
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Optimizing Rate-CRB Performance for Beyond Diagonal Reconfigurable Intelligent Surface Enabled ISAC
Zhang, Xiaoqi
Liu, Liang
Zhang, Shuowen
Zhu, Weifeng
Zhang, Haijun
Signal Processing
Information Theory
This letter considers a beyond diagonal reconfigurable intelligent surface (BD-RIS) aided integrated sensing and communication (ISAC) system, where the BD-RIS can help a multi-antenna base station (BS) serve multiple user equipments (UEs) and localize a target simultaneously. We formulate an optimization problem that designs the BS beamforming matrix and the BD-RIS scattering matrix to maximize UEs' sum rate subject to a localization Cramer-Rao bound (CRB) constraint and an additional unitary matrix constraint for the scattering matrix. Because unitary matrices form a manifold, our problem belongs to constrained manifold optimization. This letter proposes a log-barrier based Riemannian steepest ascent method to solve this problem effectively. Numerical results verify the effectiveness of our algorithm and the performance gain of the BD-RIS aided ISAC systems over the conventional RIS aided ISAC systems.
title Optimizing Rate-CRB Performance for Beyond Diagonal Reconfigurable Intelligent Surface Enabled ISAC
topic Signal Processing
Information Theory
url https://arxiv.org/abs/2508.11295