Secrecy outage and capacity analysis for UAV-assisted IRS-aided G2G system

Abstract

The integration of intelligent reflecting surfaces (IRS) with unmanned aerial vehicle (UAV) is rapidly emerging as a groundbreaking approach to enhancing the performance of 5G and beyond (5G+) wireless networks. This paper considers UAV-assisted-IRS-aided ground-to-ground (G2G) communication (UA-IRS-G2G) for improving the reliability of ground users (GUs) in infrastructure-less scenarios. To develop the mathematical framework for UA-IRS-G2G system, a height-dependent Nakagami- m fading channel is assumed for the IRS-to-GU links, while a Rayleigh fading channel is adopted for the G2G links, accounting for the multipath effect between the GUs. For the same, the cumulative distribution function (CDF) of the end-to-end signal-to-noise ratio (SNR) for signals transmitted via UA-IRS is derived. Furthermore, the closed-form expressions of secrecy outage probability (SOP) and secrecy capacity are also derived for the considered scenario. Additionally, diversity order is employed to enhance the reliability of the received signal at the receiver node in the proposed scenario. At the end numerical simulations are conducted to validate the accuracy of these theoretical derivations. The performance of the proposed work is compared with the existing state-of-the-art method reported in 11 . The results demonstrate that the proposed approach achieves better performance than the existing method in 11 .