A AAV-Enabled Integrated Sensing and Covert Communication System

In this paper, an integrated sensing and covert communications (ISACC) framework is established for autonomous aerial vehicle (AAV) system, where one mobile AAV is deployed to provide sensing and communication services simultaneously, while there exists a malicious warden attempts to detect whether the AAV is communicating with multiple ground users during the whole flight. First, we consider that the communication signal from the AAV is hided under the cover of noise uncertainty in the presence of sensing signal. Then, to maximize the minimum achievable rate among all users with the required sensing performance and covertness, an efficient iterative solution is designed by jointly optimizing the power allocation, trajectory and communication scheduling of AAV. Numerical results are provided to verify the effectiveness of our proposed solution and demonstrate the fundamental trade-off between covertness, sensing requirement and communication achievable rate.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-03-28
DOI
https://doi.org/10.1109/tvt.2025.3548022
Citations
5
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
24.97

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article

A AAV-Enabled Integrated Sensing and Covert Communication System

Zheng Ma, Yi Zhou, Pingzhi Fan
5 citations
IEEE Transactions on Vehicular Technology
UAV Applications and Optimization
24.97
article

A AAV-Enabled Integrated Sensing and Covert Communication System

Zheng Ma, Yi Zhou, Pingzhi Fan
article en
5 citations

Abstract

In this paper, an integrated sensing and covert communications (ISACC) framework is established for autonomous aerial vehicle (AAV) system, where one mobile AAV is deployed to provide sensing and communication services simultaneously, while there exists a malicious warden attempts to detect whether the AAV is communicating with multiple ground users during the whole flight. First, we consider that the communication signal from the AAV is hided under the cover of noise uncertainty in the presence of sensing signal. Then, to maximize the minimum achievable rate among all users with the required sensing performance and covertness, an efficient iterative solution is designed by jointly optimizing the power allocation, trajectory and communication scheduling of AAV. Numerical results are provided to verify the effectiveness of our proposed solution and demonstrate the fundamental trade-off between covertness, sensing requirement and communication achievable rate.

IEEE Transactions on Vehicular TechnologyVol. 74(7)
Southwest Jiaotong University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 1%
UAV Applications and Optimization
24.97
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