UAV-Enabled Cooperative Jamming for Covert Communications
Hangmei Rao, Sa Xiao, Shihao Yan, Jianquan Wang, Wanbin Tang

TL;DR
This paper introduces a geometric optimization method for UAV-assisted covert communication, enhancing performance and reducing complexity compared to traditional iterative approaches.
Contribution
It develops the first geometric method to optimize UAV trajectory and transmit power jointly for covert communications, eliminating the need for approximations.
Findings
GM method outperforms CI method in covert rate
GM method reduces computational complexity
UAV trajectory design significantly impacts covert communication performance
Abstract
This work employs an unmanned aerial vehicle (UAV) as a jammer to aid a covert communication from a transmitter Alice to a receiver Bob, where the UAV transmits artificial noise (AN) with random power to deliberately create interference to a warden Willie. In the considered system, the UAV's trajectory is critical to the covert communication performance, since the AN transmitted by the UAV also generates interference to Bob. To maximize the system performance, we formulate an optimization problem to jointly design the UAV's trajectory and Alice's transmit power. The formulated optimization problem is non-convex and is normally solved by a conventional iterative (CI) method, which requires multiple approximations based on Taylor expansions and an initialization on the UAV's trajectory. In order to eliminate these requirements, this work, for the first time, develops a geometric (GM)…
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Taxonomy
TopicsWireless Communication Security Techniques · UAV Applications and Optimization · Ethics and Legal Issues in Pediatric Healthcare
