Secrecy Capacity Analyses and Trajectory Optimization for IRS-UAV Networks

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...

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Bibliographic Details
Published in2024 47th International Conference on Telecommunications and Signal Processing (TSP) pp. 173 - 176
Main Authors Namdar, Mustafa, Basgumus, Arif, Calik, Nurullah, Alakoca, Hakan, Durak-Ata, Lutfiye
Format Conference Proceeding
LanguageEnglish
Published IEEE 10.07.2024
Subjects
Approximation algorithms
Autonomous aerial vehicles
intelligent reflective surfaces
Physical layer security
Privacy
secrecy capacity
Signal processing
Signal processing algorithms
trajectory optimization
Transmitting antennas
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Summary: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.
ISSN:2768-3311
DOI:10.1109/TSP63128.2024.10605973