STAR-RIS Aided Covert Communication in UAV Air-Ground Networks

The combination of a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) and an unmanned aerial vehicle (UAV) can further improve channel quality and extend coverage. However, the high-quality air-to-ground link is more vulnerable to eavesdropping by adversaries. In this paper, we investigate STAR-RIS-assisted covert communication in UAV non-orthogonal multiple access (NOMA) networks with a warden Willie, where Alice intends to transmit the covert signal to a near user Bob under the cover of a far user Carol via STAR-RIS. We aim to maximize the covert transmission rate by jointly optimizing the active and passive beamforming as well as the UAV location. The error detection probability and optimal detection threshold for Willie are first derived to obtain an analytic solution for the minimum detection error probability. Then, an alternating optimization algorithm is proposed to maximize the covert transmission rate under the condition of guaranteeing the communication of Carol and satisfying the covertness constraint of Bob. Specifically, the nonconvex problem is decomposed into three sub-problems by block coordinate descent, which are then solved using semidefinite relaxation and successive convex approximation. Finally, simulation results are presented to demonstrate the effectiveness of the proposed covert communication scheme for STAR-RIS assisted UAV air-ground networks.

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Publication Details

Journal
IEEE Journal on Selected Areas in Communications
Published
2024-09-13
DOI
https://doi.org/10.1109/jsac.2024.3460079
Citations
56
Primary Topic
Wireless Communication Security Techniques
Type
article
Field-Weighted Citation Impact
11.69

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article

STAR-RIS Aided Covert Communication in UAV Air-Ground Networks

Chengwen Xing, Celimuge Wu, Shaoyong Guo, George K. Karagiannidis et al.
56 citations
IEEE Journal on Selected Areas in Communications
Wireless Communication Security Techniques
11.69
article

STAR-RIS Aided Covert Communication in UAV Air-Ground Networks

Chengwen Xing, Celimuge Wu, Shaoyong Guo, George K. Karagiannidis, Qunshu Wang, Dusit Niyato, Nan Zhao
article en
56 citations

Abstract

The combination of a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) and an unmanned aerial vehicle (UAV) can further improve channel quality and extend coverage. However, the high-quality air-to-ground link is more vulnerable to eavesdropping by adversaries. In this paper, we investigate STAR-RIS-assisted covert communication in UAV non-orthogonal multiple access (NOMA) networks with a warden Willie, where Alice intends to transmit the covert signal to a near user Bob under the cover of a far user Carol via STAR-RIS. We aim to maximize the covert transmission rate by jointly optimizing the active and passive beamforming as well as the UAV location. The error detection probability and optimal detection threshold for Willie are first derived to obtain an analytic solution for the minimum detection error probability. Then, an alternating optimization algorithm is proposed to maximize the covert transmission rate under the condition of guaranteeing the communication of Carol and satisfying the covertness constraint of Bob. Specifically, the nonconvex problem is decomposed into three sub-problems by block coordinate descent, which are then solved using semidefinite relaxation and successive convex approximation. Finally, simulation results are presented to demonstrate the effectiveness of the proposed covert communication scheme for STAR-RIS assisted UAV air-ground networks.

IEEE Journal on Selected Areas in CommunicationsVol. 43(1)
Beijing Institute of Technology (CN), Beijing University of Posts and Telecommunications (CN), Nanyang Technological University (SG), University of Electro-Communications (JP), Aristotle University of Thessaloniki (GR), Dalian University of Technology (CN)
National Natural Science Foundation of China, National Science Foundation, United Arab Emirates
Openalex Percentile: Top 1%
Wireless Communication Security Techniques
11.69
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