Joint Active and Passive Beamforming Design for Secure RIS-Aided ISAC System

This paper studies the reconfigurable intelligent surface (RIS)-aided integrated sensing and communication (ISAC) system while considering physical layer security (PLS). In this model, communication users and targets are located in conventionally non-line-of-sight (NLoS) covered areas of the base station (BS). The RIS is deployed to create virtual line-of-sight (LoS) links. Our aim is to maximize the minimum sensing performance through beamforming design under both secrecy rate and transmit power constraints. To solve this problem, an alternating optimization (AO) framework is proposed, and a corresponding complexity analysis is provided. Numerical results demonstrate that our proposed design yields enhanced sensing performance compared to both random phase and separate beamforming schemes.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-01-10
DOI
https://doi.org/10.1109/lwc.2025.3528080
Citations
8
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
5.84
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article

Joint Active and Passive Beamforming Design for Secure RIS-Aided ISAC System

Jianxin Dai, Kezhi Wang, Jianglin Ye, Cunhua Pan et al.
8 citations
IEEE Wireless Communications Letters
Advanced Wireless Communication Technologies
5.84
article

Joint Active and Passive Beamforming Design for Secure RIS-Aided ISAC System

Jianxin Dai, Kezhi Wang, Jianglin Ye, Cunhua Pan, Jingjing Li
article en
8 citations

Abstract

This paper studies the reconfigurable intelligent surface (RIS)-aided integrated sensing and communication (ISAC) system while considering physical layer security (PLS). In this model, communication users and targets are located in conventionally non-line-of-sight (NLoS) covered areas of the base station (BS). The RIS is deployed to create virtual line-of-sight (LoS) links. Our aim is to maximize the minimum sensing performance through beamforming design under both secrecy rate and transmit power constraints. To solve this problem, an alternating optimization (AO) framework is proposed, and a corresponding complexity analysis is provided. Numerical results demonstrate that our proposed design yields enhanced sensing performance compared to both random phase and separate beamforming schemes.

IEEE Wireless Communications LettersVol. 14(3)
Nanjing University of Posts and Telecommunications (CN), Brunel University of London (GB), Southeast University (CN)
Affordable and clean energy
Openalex Percentile: Top 4%
Advanced Wireless Communication Technologies
5.84
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