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

Salah Almaghthawi; Emad Alsusa; Arafat Al-Dweik

doi:10.1109/LWC.2023.3336800

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

Salah Almaghthawi, Emad Alsusa, Arafat Al-Dweik

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1 Scopus citations

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.

Original language	British English
Pages (from-to)	560-564
Number of pages	5
Journal	IEEE Wireless Communications Letters
Volume	13
Issue number	2
DOIs	https://doi.org/10.1109/LWC.2023.3336800
State	Published - 1 Feb 2024

Keywords

co-channel interference
Ergodic capacity
Gamma approximation
Intelligent reflecting surface
Nakagami-m fading
non-orthogonal multiple access
outage probability

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10.1109/LWC.2023.3336800

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title = "On the Performance of IRS-Aided NOMA in Interference-Limited Networks",

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.",

keywords = "co-channel interference, Ergodic capacity, Gamma approximation, Intelligent reflecting surface, Nakagami-m fading, non-orthogonal multiple access, outage probability",

author = "Salah Almaghthawi and Emad Alsusa and Arafat Al-Dweik",

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AU - Almaghthawi, Salah

AU - Alsusa, Emad

AU - Al-Dweik, Arafat

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AB - 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.

KW - co-channel interference

KW - Ergodic capacity

KW - Gamma approximation

KW - Intelligent reflecting surface

KW - Nakagami-m fading

KW - non-orthogonal multiple access

KW - outage probability

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SP - 560

EP - 564

JO - IEEE Wireless Communications Letters

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

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