Open Access

ARTICLE

Error Rate Analysis of Intelligent Reflecting Surfaces Aided Non-Orthogonal Multiple Access System

A. Vasuki¹, Vijayakumar Ponnusamy^2,*

1 Department of ECE, SRM Institute of Science and Technology, Vadapalani, Chennai, 600026, India
2 Department of ECE, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Chengalpattu, 603203, India

* Corresponding Author: Vijayakumar Ponnusamy. Email:

Intelligent Automation & Soft Computing 2022, 33(1), 71-86. https://doi.org/10.32604/iasc.2022.022586

Received 12 August 2021; Accepted 27 October 2021; Issue published 05 January 2022

Abstract

A good wireless device in a system needs high spectral efficiency. Non-Orthogonal Multiple Access (NOMA) is a technique used to enhance spectral efficiency, thereby allowing users to share information at the same time and same frequency. The information of the user is super-positioned either in the power or code domain. However, interference cancellation in NOMA aided system is challenging as it determines the reliability of the system in terms of Bit Error Rate (BER). BER is an essential performance parameter for any wireless network. Intelligent Reflecting Surfaces (IRS) enhances the BER of the users by controlling the electromagnetic wave propagation of a given channel. IRS is able to boost the Signal to Noise Ratio (SNR) at the receiver by introducing a phase shift in the incoming signal utilizing cost-effective reflecting materials. This paper evaluates users’ error rate performance by utilizing IRS in NOMA. The error probability expression of users is derived under Rayleigh and Rician fading channel. The accuracy of derived analytical expressions is then validated via simulations. Impact of power allocation factor, coherent and random phase shifting of IRS is evaluated for the proposed IRS-NOMA system.

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Keywords

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