Secrecy Capacity Analyses and Trajectory Optimization for IRS-UAV Networks

Mustafa Namdar, Arif Basgumus, Nurullah Calik, Hakan Alakoca, Lutfiye Durak-Ata

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

1 Citation (Scopus)

Abstract

In this study, an intelligent reflective surface (IRS)-assisted communication system has been investigated from the perspective of secrecy capacity analysis. Analyses have been conducted in the presence of a group of unmanned aerial vehicles (UAVs) acting as covert listeners, aiming to eavesdrop on legitimate user information in the transmission environment. Additionally, trajectory optimization has been explored in a scenario integrated with UAVs and IRS, evaluating the impact of the determined optimum trajectory on the physical layer security performance. With the Multiple Penalized Principal Curves (MPPC) algorithm, it is concluded that secrecy capacity is increased by approximately 4 dB for the scenario involving IRS-UAV networks.

Original languageEnglish
Title of host publication2024 47th International Conference on Telecommunications and Signal Processing, TSP 2024
EditorsNorbert Herencsar
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages173-176
Number of pages4
ISBN (Electronic)9798350365597
DOIs
Publication statusPublished - 2024
Event47th International Conference on Telecommunications and Signal Processing, TSP 2024 - Virtual, Online, Czech Republic
Duration: 10 Jul 202412 Jul 2024

Publication series

Name2024 47th International Conference on Telecommunications and Signal Processing, TSP 2024

Conference

Conference47th International Conference on Telecommunications and Signal Processing, TSP 2024
Country/TerritoryCzech Republic
CityVirtual, Online
Period10/07/2412/07/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • intelligent reflective surfaces
  • physical layer security
  • secrecy capacity
  • trajectory optimization

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