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Intelligent reflecting surface (IRS) have evolved as one of the key technology by enabling reconfigurable, intelligent, and low-power solutions for sixth-generation (6G) wireless communication.
The objective of this paper is to improve outage performance by deploying the IRS Module.
In this research, an IRS-assisted NOMA network is explored over η - μ fading channel, where the IRS is placed on top of the base station (BS). IRS aids in fine-tuning the phase of incoming signals fromBS in a meticulous way, which improves the performance of the system. The statistical channel modelling of the downlink IRS-NOMA system is proposed and validated with Monte Carlo (MC) simulation. Also, analytical expressions of OP are derived for kth user in the IRS-NOMA system over η - μ fading channel.
The influence of performance factors, such as the number of reflecting elements (M) on OP, is examined.
Simulation results reveal that the IRS-NOMA system experiences less outage compared to IRS-OMA and conventional relaying techniques.