Analysis of Uplink IRS-Assisted NOMA under Nakagami-m Fading via Moments Matching

Abstract

This letter investigates the uplink outage performance of intelligent reflecting surface (IRS)-assisted non-orthogonal multiple access (NOMA). We consider the general case where all users have both direct and reflection links, and all links undergo Nakagami-m fading. We approximate the received powers of the NOMA users as Gamma random variables via moments matching. This allows for tractable expressions of the outage under interference cancellation (IC), while being flexible in modeling various propagation environments. Our analysis shows that under certain conditions, the presence of an IRS might degrade the performance of users that have dominant line-of-sight (LOS) to the base station (BS), while users dominated by non-line-of-sight (NLOS) will always benefit from it.

References in corpus (2)

• Spatial Throughput Characterization for Intelligent Reflecting Surface Aided Multiuser System
• What Role Do Intelligent Reflecting Surfaces Play in Multi-Antenna Non-Orthogonal Multiple Access?

Cited by in corpus (6)

• PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments with Adjustable Fading
• Secrecy Outage Probability Analysis for Downlink RIS-NOMA Networks with On-Off Control
• Outage Analysis of Uplink IRS-Assisted NOMA under Elements Splitting
• A Novel Stochastic Model for IRS-Assisted Communication Systems Based on the Sum-Product of Nakagami-$m$ Random Variables
• Identification of RIS-Assisted Paths for Wireless Integrated Sensing and Communication
• RIS-Assisted D2D Communication in the Presence of Interference: Outage Performance Analysis and DNN-Based Prediction