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Download fileJoint Trajectory and Power Allocation Design for Secure Artificial Noise aided UAV Communications
preprint
posted on 2021-01-07, 10:42 authored by Milad Tatar MamaghaniMilad Tatar Mamaghani, Yi HongThis 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
New Generation of Secure Wireless Communications for Constrained Devices
Australian Research Council
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Email Address of Submitting Author
milad.tatarmamaghani@monash.eduORCID of Submitting Author
0000-0002-3953-7230Submitting Author's Institution
Monash UniversitySubmitting Author's Country
- Australia