Fronthaul Compression and Beamforming Optimization for Secure Cell-Free ISAC Systems

This letter aims to provide sensing capabilities for a potential eavesdropper, while simultaneously enabling the secure communications with the legitimate users in a cell-free multiple-input multiple-output system with limited fronthaul links. In order to maximize the sensing performance, the joint design of fronthaul compression and beamforming is proposed considering the constraints on the finite fronthaul-capacity links and the maximum power along with the worst-case secrecy rate requirements. To this end, we propose an algorithmic solution based on the Minorization-Maximization (MM) method and semidefinite programming relaxation techniques, whose performance superiority is verified via simulations compared to the reference schemes such as distributed sensing and conventional beamforming designs.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-08-12
DOI
https://doi.org/10.1109/lwc.2025.3598030
Citations
4
Primary Topic
Antenna Design and Analysis
Type
article
Field-Weighted Citation Impact
19.97
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article

Fronthaul Compression and Beamforming Optimization for Secure Cell-Free ISAC Systems

Seong‐Jun Kim, S. Jeon
4 citations
IEEE Wireless Communications Letters
Antenna Design and Analysis
19.97
article

Fronthaul Compression and Beamforming Optimization for Secure Cell-Free ISAC Systems

Seong‐Jun Kim, S. Jeon
article en
4 citations

Abstract

This letter aims to provide sensing capabilities for a potential eavesdropper, while simultaneously enabling the secure communications with the legitimate users in a cell-free multiple-input multiple-output system with limited fronthaul links. In order to maximize the sensing performance, the joint design of fronthaul compression and beamforming is proposed considering the constraints on the finite fronthaul-capacity links and the maximum power along with the worst-case secrecy rate requirements. To this end, we propose an algorithmic solution based on the Minorization-Maximization (MM) method and semidefinite programming relaxation techniques, whose performance superiority is verified via simulations compared to the reference schemes such as distributed sensing and conventional beamforming designs.

IEEE Wireless Communications LettersVol. 14(12)
Seoul Semiconductor (South Korea) (KR)
Affordable and clean energy
Openalex Percentile: Top 1%
Antenna Design and Analysis
19.97
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