UAV-Assisted IRS-Aided Network Coded Cooperation in 6G Wireless Communication

In this paper, integration of intelligent reflecting surface (IRS) with unmanned aerial vehicle (UAV)-assisted network-coded cooperation (UA-NCC) system is proposed for improving the reliability of the infrastructure-less network in sixth generation (6 G) wireless communication. A mathematical framework is proposed by considering Nakagami-<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$m$</tex-math></inline-formula> fixed channel gain for ground-to-ground (G2G) links and height-dependent Nakagami-<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$m$</tex-math></inline-formula> channel gain for air-to-ground (A2G) links. Moreover, a cumulative distribution function (CDF) for end-to-end (E2E) signal-to-noise ratio (SNR) is derived for the proposed scheme, by considering the signal is reached the end users either through an IRS or via a UAV. Furthermore, an outage probability and its asymptotic behavior for the proposed system model are derived by considering the effect of both the signal coming via UAV as well as IRS elements in Nakagami-<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$m$</tex-math></inline-formula> fading environments. The findings demonstrate that the simulation results are aligned with our theoretical derivation, and it is also compared with the existing state-of-the-art.