SINR Analysis of an IRS Assisted MU-MISO System
Lakshmi Jayalal, Shashank Shekhar, Athira Subhash, Sheetal Kalyani
TL;DR
This paper analyzes the outage probability of an IRS-assisted MU-MISO system by approximating SINR with a Log-Normal distribution, highlighting the importance of IRS placement and element count.
Contribution
It introduces a two-step approximation method for SINR and provides a closed-form expression for outage probability in IRS-assisted MU-MISO systems.
Findings
IRS position significantly affects system performance
Increasing IRS elements can mitigate suboptimal placement effects
Closed-form outage probability expression derived
Abstract
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.
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Satellite Communication Systems · Optical Wireless Communication Technologies