Joint Secure Transmit Beamforming Designs for Physical Layer Security in MIMO-ISAC System

This article concentrates on the physical layer security (PLS) towards an integrated sensing and communication (ISAC) system, which communicates with legitimate communication users (CUs) and detects the single sensing target, which is considered to be eavesdropper because it might intercept the transmitting message from the base station to CUs. The joint transmitting beamforming for secure communication and sensing is designed to maximize the sum secrecy rate (SR) of system under the constraints of quality-of-service of CUs, the Signal-to-Noise Ratio (SNR) of sensing and the power budget of the system. The optimal solution is obtained by the semidefinite relaxation and successive convex approximation algorithms. The availability of the beamforming design in ensuring the SR of the ISAC system is showed by Simulation results.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10868940
Citations
2
Primary Topic
Antenna Design and Analysis
Type
article
Field-Weighted Citation Impact
2.60

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article

Joint Secure Transmit Beamforming Designs for Physical Layer Security in MIMO-ISAC System

Hao Zheng, Junkun Yan, Sitong Guo, Yinghui Zhang
2 citations
Antenna Design and Analysis
2.60
article

Joint Secure Transmit Beamforming Designs for Physical Layer Security in MIMO-ISAC System

Hao Zheng, Junkun Yan, Sitong Guo, Yinghui Zhang
article en
2 citations

Abstract

This article concentrates on the physical layer security (PLS) towards an integrated sensing and communication (ISAC) system, which communicates with legitimate communication users (CUs) and detects the single sensing target, which is considered to be eavesdropper because it might intercept the transmitting message from the base station to CUs. The joint transmitting beamforming for secure communication and sensing is designed to maximize the sum secrecy rate (SR) of system under the constraints of quality-of-service of CUs, the Signal-to-Noise Ratio (SNR) of sensing and the power budget of the system. The optimal solution is obtained by the semidefinite relaxation and successive convex approximation algorithms. The availability of the beamforming design in ensuring the SR of the ISAC system is showed by Simulation results.

Xidian University (CN), Inner Mongolia University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Inner Mongolia
Openalex Percentile: Top 7%
Antenna Design and Analysis
2.60
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