Deep Reinforcement Learning Based Resource Allocation for Secure RIS-aided UAV Communication

Amjad Iqbal, Ala'a Al-Habashna, Gabriel Wainer, Faouzi Bouali, Gary Boudreau, Khan Wali

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

25 Downloads (Pure)


We investigate the use of reconfigurable intelligent surfaces (RISs) in wireless networks to maximize the sum secrecy rate (i.e., the sum maximum rate that can be communicated under perfect secrecy). Specifically, we focus on a network that utilizes RIS-assisted unmanned aerial vehicles (UAVs) under imperfect channel state information (CSI). Our objective is to maximize the sum secrecy rate while dealing with the presence of multiple eavesdroppers. To achieve this, we jointly optimize the active (UAV) and passive (RIS) beamforming together with the UAV's trajectories. The formulated problem is non-convex due to the coupling of CSI with the maneuverability of the UAV. To overcome this challenge, we propose a policy-based deep reinforcement learning (DRL) approach that solves the non-convex optimization problem in a centralized fashion. Finally, simulation results show that our proposed approach significantly improves average sum secrecy rates over conventional approaches.
Original languageEnglish
Title of host publication2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings
Number of pages6
ISBN (Electronic)9798350329285
ISBN (Print)9798350329292
Publication statusE-pub ahead of print - 11 Dec 2023
Event98th Vehicular Technology Conference - Hong Kong, China
Duration: 10 Oct 202313 Oct 2023

Publication series

Name2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)
ISSN (Print)1090-3038
ISSN (Electronic)2577-2465


Conference98th Vehicular Technology Conference
Abbreviated titleVTC2023-Fall
CityHong Kong
Internet address

Bibliographical note

This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.


  • UAV
  • RIS
  • Eavesdropper
  • Secrecy rate
  • DRL


Dive into the research topics of 'Deep Reinforcement Learning Based Resource Allocation for Secure RIS-aided UAV Communication'. Together they form a unique fingerprint.

Cite this