Paper Info
Title
Joint Trajectory and Power Allocation Design for Secure Artificial Noise Aided UAV Communications
Abstract
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.
Year
DOI
Venue
2021
10.1109/TVT.2021.3057397
IEEE Transactions on Vehicular Technology
Keywords
DocType
Volume
Unmanned aerial vehicles,Trajectory,Wireless communication,Three-dimensional displays,Resource management,Receivers,Protocols
Journal
70
Issue
ISSN
Citations 
3
0018-9545
6
PageRank 
References 
Authors
0.41
0
2
Name
Order
Citations
PageRank
Milad Tatar Mamaghani1232.61
Yi Hong262145.07