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On the Performance of IRS-Aided NOMA in Interference-Limited Networks

Salah Almaghthawi, Emad Alsusa, Arafat Al‐Dweik

2023IEEE Wireless Communications Letters20 citationsDOIOpen Access PDF

Abstract

This letter investigates the performance of intelligent reflecting surface (IRS) aided downlink power-domain non-orthogonal multiple access (NOMA) in Nakagami-m fading channels with cochannel interference (CCI). Using the Gamma approximation, we derive closed-form expressions for the ergodic capacity and outage probability, while taking CCI into account. The analytical results, validated through Monte Carlo simulation, show that IRS-aided NOMA is superior to the IRS-OMA counterpart, and that the Gamma distribution closely approximates the cascaded Nakagami-m distribution. The results are presented for various number of users and reflecting elements.

Topics & Concepts

Nakagami distributionNomaTelecommunications linkInterference (communication)Ergodic theoryFadingComputer scienceMonte Carlo methodPower (physics)Topology (electrical circuits)AlgorithmElectronic engineeringMathematicsTelecommunicationsStatisticsPhysicsEngineeringMathematical analysisDecoding methodsChannel (broadcasting)CombinatoricsQuantum mechanicsAdvanced Wireless Communication TechnologiesOptical Wireless Communication TechnologiesSatellite Communication Systems