Average Worst-Case Secrecy Rate Maximization via UAV and Base Station Resource Allocation
Name:
manuscript_SA_09273019.pdf
Size:
265.3Kb
Format:
PDF
Description:
Final Accepted Manuscript
Affiliation
Univ Arizona, Dept Elect & Comp EngnIssue Date
2019-09Keywords
resource allocationaverage worst-case secrecy rate
information causality constraint
adversary
UAV
BS
Metadata
Show full item recordPublisher
IEEECitation
S. Ahmed and B. A. Bash, "Average Worst-Case Secrecy Rate Maximization via UAV and Base Station Resource Allocation," 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, IL, USA, 2019, pp. 1176-1181, doi: 10.1109/ALLERTON.2019.8919955.Rights
© 2019 IEEE.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
In this paper, we consider a wireless network setting where a base station (BS) employs a single unmanned aerial vehicle (UAV) mobile relay to disseminate information to multiple users in the presence of multiple adversaries. The BS, which is on the ground, has no direct link to the users or the adversaries, who are also on the ground. We optimize the joint transmit power of the BS and the UAV, and the UAV trajectory. We introduce the information causality constraint and maximize the average worst-case secrecy rate in the presence of the adversaries. The formulated average worst-case secrecy rate optimization problem is not convex and is solved sub-optimally. First, we optimize the transmit power of the BS and the UAV under a given UAV trajectory. Then, we optimize the UAV trajectory under the sub-optimal UAV and BS transmit power. An efficient algorithm solves the average worst-case secrecy rate maximization problem iteratively until it converges. Finally, simulation results are provided, which demonstrate the correspondence of the UAV optimal track and transmit power allocation to what is suggested by the previous theoretic results.ISSN
2474-0195Version
Final accepted manuscriptae974a485f413a2113503eed53cd6c53
10.1109/allerton.2019.8919955