STAR-RIS-Empowered Integrated Sensing and Covert Communication System With Movable Elements: Joint Robust Beamforming and Element Deployment Design

This paper investigates the integrated sensing and covert communication (ISCC) system, which is empowered by a simultaneous transmission and reflection reconfigurable intelligent surface (STAR-RIS) with movable elements (MEs). The base station (BS) serves legitimate users (including covert inside users and overt outside users) with the assistance of a STARRIS and senses several malicious targets simultaneously. To protect the information of covert users, it is necessary to ensure that the communications between the BS and covert users are hidden from the sensing targets. The STAR-RIS is equipped with MEs that enable a reconfigurable array response and signal control (reflection/transmission), i.e., flexible and passive beamforming (FAPB). Based on the imperfect channel state information (CSI) assumption, we aim to maximize both the communication and the sensing performance by jointly designing the active beamforming of BS and the FAPB of STAR-RIS. Both STAR-RISs with independent and coupled phase shift are considered. For the case of independent phase shift, we develop an iteration-based joint active and flexible passive beamforming (JAFPB) algorithm to obtain a high-quality solution. For the case of coupled phase shift, we develop a double-layer penalty-based iteration (DLPBI) algorithm to efficiently solve this problem. The numerical results validate the effectiveness and robustness of the proposed algorithm and further reveal that element mobility can improve the performance of the STAR-RIS-aided system.

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Publication Details

Journal
IEEE Transactions on Cognitive Communications and Networking
Published
2025-07-14
DOI
https://doi.org/10.1109/tccn.2025.3588724
Citations
2
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
2.29

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article

STAR-RIS-Empowered Integrated Sensing and Covert Communication System With Movable Elements: Joint Robust Beamforming and Element Deployment Design

Chen Wei, Guojie Hu, Xiaochen Xia, Tao Zhou et al.
2 citations
IEEE Transactions on Cognitive Communications and Networking
Underwater Vehicles and Communication Systems
2.29
article

STAR-RIS-Empowered Integrated Sensing and Covert Communication System With Movable Elements: Joint Robust Beamforming and Element Deployment Design

Chen Wei, Guojie Hu, Xiaochen Xia, Tao Zhou, Chunguo Li, Yufan Chen, Kui Xu
article en
2 citations

Abstract

This paper investigates the integrated sensing and covert communication (ISCC) system, which is empowered by a simultaneous transmission and reflection reconfigurable intelligent surface (STAR-RIS) with movable elements (MEs). The base station (BS) serves legitimate users (including covert inside users and overt outside users) with the assistance of a STARRIS and senses several malicious targets simultaneously. To protect the information of covert users, it is necessary to ensure that the communications between the BS and covert users are hidden from the sensing targets. The STAR-RIS is equipped with MEs that enable a reconfigurable array response and signal control (reflection/transmission), i.e., flexible and passive beamforming (FAPB). Based on the imperfect channel state information (CSI) assumption, we aim to maximize both the communication and the sensing performance by jointly designing the active beamforming of BS and the FAPB of STAR-RIS. Both STAR-RISs with independent and coupled phase shift are considered. For the case of independent phase shift, we develop an iteration-based joint active and flexible passive beamforming (JAFPB) algorithm to obtain a high-quality solution. For the case of coupled phase shift, we develop a double-layer penalty-based iteration (DLPBI) algorithm to efficiently solve this problem. The numerical results validate the effectiveness and robustness of the proposed algorithm and further reveal that element mobility can improve the performance of the STAR-RIS-aided system.

IEEE Transactions on Cognitive Communications and NetworkingVol. 11(5)
PLA Rocket Force University of Engineering (CN), PLA Army Engineering University (CN), Southeast University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province
Openalex Percentile: Top 12%
Underwater Vehicles and Communication Systems
2.29
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