Signal-to-interference-noise-ratio density distribution for UAV-carried IRS-to-6G ground communication

Date published

2025

Free to read from

2025-04-16

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Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

Department

Type

Article

ISSN

2169-3536

Format

Citation

Nnamani, CO, Anioke CL, Al-Rubaye S, Tsourdos A. (2025) Signal-to-interference-noise-ratio density distribution for UAV-carried IRS-to-6G ground communication. IEEE Access, Volume 13, pp. 49824-49835

Abstract

This paper investigates the probability distribution of the signal-to-interference noise ratio (SINR) for a 6G communication system comprising a multi-antenna transmitter, an intelligent reflecting surface (IRS) and a remote receiver station. A common assumption in the literature is that the density distribution function for SINR and signal-to-noise ratio (SNR) of an IRS-to-ground communication follows a Rayleigh and Rician distribution. This assumption is essential as it influences the derivation of the properties of the communication system such as the physical layer security models and the designs of IRS controller units. Therefore, in this paper, we present an analytical derivation for the density distribution functions of the SINR for an IRS-to-6G ground communication ameliorating the typical assumptions in the literature. We demonstrated that the SINR density function of an IRS-to-6G ground communication contains a hypergeometric function. We further applied the derived density distribution function to determine the average secrecy rate for passive eavesdropping.

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Software Description

Software Language

Github

Keywords

4613 Theory Of Computation, 46 Information and Computing Sciences, 4006 Communications Engineering, 40 Engineering, 40 Engineering, 46 Information and computing sciences

DOI

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Attribution 4.0 International

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Funder/s

Engineering and Physical Sciences Research Council (EPSRC)
This work was supported by EPSRC Communications Hub for Empowering Distributed Cloud Computing Applications and Research (CHEDDAR) Project under Grant EP/X040518/1 and Grant EP/Y037421/1