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.
| Original language | English |
|---|---|
| Pages (from-to) | 49824 - 49835 |
| Number of pages | 12 |
| Journal | IEEE Access |
| Volume | 13 |
| Early online date | 10 Mar 2025 |
| DOIs | |
| Publication status | Published - 26 Mar 2025 |
Funding
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. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) license to any arising Author Accepted Manuscript version.
Keywords
- IRS
- 6G
- density functions
- SINR
- UAV
- antenna
- physical layer security