In this work, we characterize the outage probability (OP) of an intelligent reflecting surface (IRS) assisted multi-user multiple-input-single-output (MU-MISO) communication system. Using a two-step approximation method, we approximate the signal-to-interference-plus-noise ratio (SINR) for any downlink user by a Log-Normal random variable. The impact of various system parameters is studied using the closed-form expression of OP. It is concluded that the position of IRS has a critical role, but an appropriate increase in the number of IRS elements would help to compensate for the loss in performance if the position of IRS is suboptimal.
@article{arxiv.2208.03664,
title = {SINR Analysis of an IRS Assisted MU-MISO System},
author = {Lakshmi Jayalal and Shashank Shekhar and Athira Subhash and Sheetal Kalyani},
journal= {arXiv preprint arXiv:2208.03664},
year = {2022}
}