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Joint Trajectory and Power Allocation Design for Secure Artificial Noise aided UAV Communications

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posted on 07.01.2021, 10:42 by Milad Tatar Mamaghani, Yi Hong
This paper investigates an average secrecy rate (ASR) maximization problem for an unmanned aerial vehicle (UAV) enabled wireless communication system, wherein a UAV is employed to deliver confidential information to a ground destination in the presence of a terrestrial passive eavesdropper. By employing an artificial noise (AN) injection based secure two-phase transmission protocol, we aim at jointly optimizing the UAV’s trajectory, network transmission power, and AN power allocation over a given time horizon to enhance the ASR performance. Specifically, we divide the original non-convex problem into four subproblems, and propose a successive convex approximation based efficient iterative algorithm to solve it suboptimally with guaranteed convergence. Simulation results demonstrate significant security advantages of our designed scheme over other known benchmarks, particularly for stringent flight durations.

Funding

Secure wireless communications for constrained devices

Australian Research Council

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History

Email Address of Submitting Author

milad.tatarmamaghani@monash.edu

ORCID of Submitting Author

0000-0002-3953-7230

Submitting Author's Institution

Monash University

Submitting Author's Country

Australia

Licence

Exports