Secure Transceiver Design for Integrated Sensing, Communication, and Computation Over-the-Air Networks

This letter explores security issues in a multiple-input multiple-output (MIMO) integrated sensing, communication, and computation over-the-air (ISCCO) network. In this network, multiple multi-antenna sensors sense the targets and transmit private data to a legitimate access point (AP) using the over-the-air (AirComp) computation technique simultaneously, while an eavesdropper intends to eavesdrop on this data. Depending on whether the positions of the sensing targets are known in advance, we formulate optimization problems for omnidirectional and directional scenarios respectively. In particular, the computational mean square error (MSE) at the AP is minimized while meeting the sensing and security performance constraints by designing the legitimate transceiver. Furthermore, we convert the non-linear objective function and constraints into linear forms using mathematical methods. The reformulated problem is finally solved through a proposed iterative algorithm. Numerical results reveal the effectiveness of the proposed scheme, as well as the impacts of various parameters.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-08-28
DOI
https://doi.org/10.1109/lwc.2025.3603718
Citations
1
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
4.99

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article

Secure Transceiver Design for Integrated Sensing, Communication, and Computation Over-the-Air Networks

Xianfu Lei, Lisheng Fan, Ziwei Wang, Xingwang Li
1 citations
IEEE Wireless Communications Letters
UAV Applications and Optimization
4.99
article

Secure Transceiver Design for Integrated Sensing, Communication, and Computation Over-the-Air Networks

Xianfu Lei, Lisheng Fan, Ziwei Wang, Xingwang Li
article en
1 citations

Abstract

This letter explores security issues in a multiple-input multiple-output (MIMO) integrated sensing, communication, and computation over-the-air (ISCCO) network. In this network, multiple multi-antenna sensors sense the targets and transmit private data to a legitimate access point (AP) using the over-the-air (AirComp) computation technique simultaneously, while an eavesdropper intends to eavesdrop on this data. Depending on whether the positions of the sensing targets are known in advance, we formulate optimization problems for omnidirectional and directional scenarios respectively. In particular, the computational mean square error (MSE) at the AP is minimized while meeting the sensing and security performance constraints by designing the legitimate transceiver. Furthermore, we convert the non-linear objective function and constraints into linear forms using mathematical methods. The reformulated problem is finally solved through a proposed iterative algorithm. Numerical results reveal the effectiveness of the proposed scheme, as well as the impacts of various parameters.

IEEE Wireless Communications LettersVol. 14(11)
Guangzhou University (CN), Henan Polytechnic University (CN), Southwest Jiaotong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 5%
UAV Applications and Optimization
4.99
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