Aerial intelligent reflecting surface for secure wireless networks: Secrecy capacity and optimal trajectory strategy

Hehao Niu, Zheng Chu, Zhengyu Zhu, Fuhui Zhou

Research output: Journal PublicationArticlepeer-review

16 Citations (Scopus)

Abstract

This work investigates the potential of the aerial intelligent reflecting surface (AIRS) in secure communication, where an intelligent reflecting surface (IRS) carried by an unmanned aerial vehicle (UAV) is utilized to help the communication between the ground nodes. Specifically, we formulate the joint design of the AIRS's deployment and the phase shift to maximize the secrecy rate. To solve the non-convex objective, we develop an alternating optimization (AO) approach, where the phase shift optimization is solved by the Riemannian manifold optimization (RMO) method, while the deployment optimization is handled by the successive convex approximation (SCA) technique. Furthermore, to reduce the computational complexity of the RMO method, an element-wise block coordinate descent (EBCD) based method is employed. Simulation results verify the effect of AIRS in improving the communication security, as well as the importance of designing the deployment and phase shift properly.

Original languageEnglish
Pages (from-to)119-133
Number of pages15
JournalIntelligent and Converged Networks
Volume3
Issue number1
DOIs
Publication statusPublished - 1 Mar 2022
Externally publishedYes

Keywords

  • Aerial intelligent reflecting surface (AIRS)
  • Alternating optimization
  • Element-wise block coordinate descent (EBCD)
  • Riemannian manifold optimization (RMO)
  • Unmanned aerial vehicle (UAV)

ASJC Scopus subject areas

  • Computer Networks and Communications

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