Secrecy Capacity Analyses and Trajectory Optimization for IRS-UAV Networks

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.