Abstract
Background: Intelligent reflecting surfaces (IRS) have evolved as one of the key technologies by enabling reconfigurable, intelligent, and low-power solutions for sixth-generation (6G) wireless communication.
Objective: The objective of this paper is to improve outage performance by deploying the IRS Module.
Method: 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 from BS 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 k!! user in the IRS-NOMA system over η - μ fading channel.
Result: Furthermore, the influence of performance factors, such as the number of reflecting elements (M) on OP, is examined.
Conclusion: Simulation results reveal that the IRS-NOMA system experiences less outage compared to IRS-OMA and conventional relaying techniques.
Keywords: Intelligent reflecting surfaces (IRS), η - μ fading channel, outage probability (OP), non-orthogonal multiple access, channel modelling, IRS-NOMA.
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