UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Joint Trajectory and Beamforming Optimization for Secure UAV Transmission Aided by IRS

Pang, X; Zhao, N; Tang, J; Niyato, D; Wong, KK; (2021) Joint Trajectory and Beamforming Optimization for Secure UAV Transmission Aided by IRS. In: 13th International Conference on Wireless Communications and Signal Processing, WCSP 2021. IEEE: Changsha, China. Green open access

[thumbnail of m54021-pang paper.pdf]
Preview
Text
m54021-pang paper.pdf - Accepted Version

Download (656kB) | Preview

Abstract

Unmanned aerial vehicle (UAV) communications are susceptible to eavesdropping, and intelligent reflecting surface (IRS) is capable of reconfiguring the propagation environment, thereby facilitating the security for UAV networks. In this paper, we aim to maximize the average secrecy rate for an IRS-assisted UAV network by jointly optimizing the UAV trajectory, the transmit beamforming, and the phase shift of IRS. The complex problem is decomposed into three subproblems and solved via an iterative algorithm. First, the closed-form solution to the active beamforming is derived. Then, the passive beamforming of fractional programming is converted into corresponding parametric sub-problems. Finally, the trajectory problem is reformulated as a convex one by utilizing the successive convex approximation. Simulation results are provided to validate the effectiveness of the proposed scheme.

Type: Proceedings paper
Title: Joint Trajectory and Beamforming Optimization for Secure UAV Transmission Aided by IRS
Event: 2021 13th International Conference on Wireless Communications and Signal Processing (WCSP)
Dates: 20 Oct 2021 - 22 Oct 2021
ISBN-13: 9781665407854
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/WCSP52459.2021.9613308
Publisher version: https://doi.org/10.1109/WCSP52459.2021.9613308
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Beamforming optimization, intelligent reflecting surface, trajectory design, unmanned aerial vehicle
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10142826
Downloads since deposit
81Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item