Dual-Polarized RIS-Assisted Secure Integrated Sensing and Communication Systems

This paper delves into the realm of dual-polarized reconfigurable intelligent surface (DP-RIS)-assisted secure integrated sensing and communication (ISAC) systems, leveraging the radar sensing signal as the interference to disturb the potential eavesdropper. A joint optimization problem for the transmit beamforming and sensing covariance matrices of the base station (BS), and phase shift matrix of the RIS is formulated in order to maximize the achievable secrecy sum rate (ASSR). The non-convex problem is decomposed into two sub-problems, which are solved iteratively utilizing successive convex approximation and semi-definite programming methods. Simulation results show that the proposed DP scheme achieves significantly superior ASSR compared to the single-polarized (SP) scheme, all while satisfying the performance requirement for multi-target detection.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2024-11-21
DOI
https://doi.org/10.1109/tvt.2024.3503691
Citations
2
Primary Topic
Distributed Sensor Networks and Detection Algorithms
Type
article
Field-Weighted Citation Impact
0.70

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article

Dual-Polarized RIS-Assisted Secure Integrated Sensing and Communication Systems

Jiaru Yang, Daniel Benevides da Costa, Wanqing Zhang, Yu Zhang et al.
2 citations
IEEE Transactions on Vehicular Technology
Distributed Sensor Networks and Detection Algorithms
0.70
article

Dual-Polarized RIS-Assisted Secure Integrated Sensing and Communication Systems

Jiaru Yang, Daniel Benevides da Costa, Wanqing Zhang, Yu Zhang, Xingwang Li, Xinyue Hu, Xueyan Li
article en
2 citations

Abstract

This paper delves into the realm of dual-polarized reconfigurable intelligent surface (DP-RIS)-assisted secure integrated sensing and communication (ISAC) systems, leveraging the radar sensing signal as the interference to disturb the potential eavesdropper. A joint optimization problem for the transmit beamforming and sensing covariance matrices of the base station (BS), and phase shift matrix of the RIS is formulated in order to maximize the achievable secrecy sum rate (ASSR). The non-convex problem is decomposed into two sub-problems, which are solved iteratively utilizing successive convex approximation and semi-definite programming methods. Simulation results show that the proposed DP scheme achieves significantly superior ASSR compared to the single-polarized (SP) scheme, all while satisfying the performance requirement for multi-target detection.

IEEE Transactions on Vehicular TechnologyVol. 74(4)
King Fahd University of Petroleum and Minerals (SA), Anhui University (CN), Henan Polytechnic University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 26%
Distributed Sensor Networks and Detection Algorithms
0.70
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