Joint Transceiver Design for Secure Full-duplex Integrated Sensing and Communication

In integrated sensing and communication (ISAC) system, the full-duplex is expected to further improve the integration and the efficiency. Here, we focus on the security of the full-duplex ISAC system. The serious interferences pose the challenges to the secure design of the full-duplex ISAC. In this paper, we propose a joint design of the information beamformer, the radar waveform, and the receive filters to minimize the eavesdropper’s signal-to-interference-plus-noise ratio or maximize the sum secrecy rate, where the sum capacity of the multiple access wiretap channel is taken into account in the optimization problems. An iterative algorithm is proposed for solving the formulated problems. Under appropriate conditions, the proposed iterative algorithm converges to the Karush-Kuhn-Tucker optimal point of the original problem without the rank 1 constraint. Then, we construct the new feasible solution without any performance loss while satisfying the rank 1 constraint. The simulation results indicate that our scheme outperforms the existing method, and can achieve a performance close to that of separate designs.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/pimrc59610.2024.10817334
Citations
1
Primary Topic
Full-Duplex Wireless Communications
Type
article
Field-Weighted Citation Impact
0.21

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article

Joint Transceiver Design for Secure Full-duplex Integrated Sensing and Communication

Boxiang He, Fanggang Wang
1 citations
Full-Duplex Wireless Communications
0.21
article

Joint Transceiver Design for Secure Full-duplex Integrated Sensing and Communication

Boxiang He, Fanggang Wang
article en
1 citations

Abstract

In integrated sensing and communication (ISAC) system, the full-duplex is expected to further improve the integration and the efficiency. Here, we focus on the security of the full-duplex ISAC system. The serious interferences pose the challenges to the secure design of the full-duplex ISAC. In this paper, we propose a joint design of the information beamformer, the radar waveform, and the receive filters to minimize the eavesdropper’s signal-to-interference-plus-noise ratio or maximize the sum secrecy rate, where the sum capacity of the multiple access wiretap channel is taken into account in the optimization problems. An iterative algorithm is proposed for solving the formulated problems. Under appropriate conditions, the proposed iterative algorithm converges to the Karush-Kuhn-Tucker optimal point of the original problem without the rank 1 constraint. Then, we construct the new feasible solution without any performance loss while satisfying the rank 1 constraint. The simulation results indicate that our scheme outperforms the existing method, and can achieve a performance close to that of separate designs.

Beijing Jiaotong University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 44%
Full-Duplex Wireless Communications
0.21
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