Holographic Beamforming for Integrated Sensing and Communication with Mutual Coupling Effects

Fuente: arXiv
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Main Authors: Zeng, Shuhao, Zhang, Haobo, Di, Boya, Zhang, Hongliang, Shao, Zijian, Han, Zhu, Poor, H. Vincent, Song, Lingyang
Format: Preprint
Published: 2025
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author Zeng, Shuhao
Zhang, Haobo
Di, Boya
Zhang, Hongliang
Shao, Zijian
Han, Zhu
Poor, H. Vincent
Song, Lingyang
author_facet Zeng, Shuhao
Zhang, Haobo
Di, Boya
Zhang, Hongliang
Shao, Zijian
Han, Zhu
Poor, H. Vincent
Song, Lingyang
contents Integrated sensing and communication (ISAC) is envisioned as a key technology in 6G networks, owing to its potential for high spectral and cost efficiency. As a promising solution for extremely large-scale arrays, reconfigurable holographic surfaces (RHS) can be integrated with ISAC to form the holographic ISAC paradigm, where enlarged radiation apertures of RHS can achieve significant beamforming gains, thereby improving both communication and sensing performance. In this paper, we investigate holographic beamforming designs for ISAC systems, which, unlike existing holographic beamforming schemes developed for RHS-aided communications, requires explicit consideration of mutual coupling effects within RHS. This is because, different from prior works only considering communication performance, ISAC systems incorporate sensing functionality, which is sensitive to sidelobe levels. Ignoring mutual coupling in holographic beamforming can lead to notable undesired sidelobes, thus degrading sensing performance. The consideration of mutual coupling introduces new challenges, i.e., it induces non-linearity in beamforming problems, rendering them inherently non-convex. To address this issue, we propose a tractable electromagnetic-compliant holographic ISAC model that characterizes mutual coupling in a closed form using coupled dipole approximations. We then develop an efficient mutual coupling aware holographic beamforming algorithm to suppress sidelobes and enhance ISAC performance. Numerical results validate effectiveness of the proposed algorithm.
format Preprint
id arxiv_https___arxiv_org_abs_2509_08113
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Holographic Beamforming for Integrated Sensing and Communication with Mutual Coupling Effects
Zeng, Shuhao
Zhang, Haobo
Di, Boya
Zhang, Hongliang
Shao, Zijian
Han, Zhu
Poor, H. Vincent
Song, Lingyang
Information Theory
Integrated sensing and communication (ISAC) is envisioned as a key technology in 6G networks, owing to its potential for high spectral and cost efficiency. As a promising solution for extremely large-scale arrays, reconfigurable holographic surfaces (RHS) can be integrated with ISAC to form the holographic ISAC paradigm, where enlarged radiation apertures of RHS can achieve significant beamforming gains, thereby improving both communication and sensing performance. In this paper, we investigate holographic beamforming designs for ISAC systems, which, unlike existing holographic beamforming schemes developed for RHS-aided communications, requires explicit consideration of mutual coupling effects within RHS. This is because, different from prior works only considering communication performance, ISAC systems incorporate sensing functionality, which is sensitive to sidelobe levels. Ignoring mutual coupling in holographic beamforming can lead to notable undesired sidelobes, thus degrading sensing performance. The consideration of mutual coupling introduces new challenges, i.e., it induces non-linearity in beamforming problems, rendering them inherently non-convex. To address this issue, we propose a tractable electromagnetic-compliant holographic ISAC model that characterizes mutual coupling in a closed form using coupled dipole approximations. We then develop an efficient mutual coupling aware holographic beamforming algorithm to suppress sidelobes and enhance ISAC performance. Numerical results validate effectiveness of the proposed algorithm.
title Holographic Beamforming for Integrated Sensing and Communication with Mutual Coupling Effects
topic Information Theory
url https://arxiv.org/abs/2509.08113