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<p>The growing demand for high data rates and low latency in 6G wireless networks has driven the need for innovative communication solutions. Indoor cellular users often experience degraded signal quality due to obstructions and path loss caused by building structures, necessitating advanced technologies to ensure reliable, high-performance wireless connectivity. In this context, intelligent reflecting surfaces (IRS) and non-orthogonal multiple access (NOMA) have emerged as promising solutions for future wireless networks. IRS enhances the propagation environment by controlling signal reflections, while NOMA improves spectral efficiency by allowing multiple users to share the same bandwidth resource block simultaneously. This work investigates the outage probability of an IRS-NOMA system operating under a <i>κ-µ</i> faded channel, focusing on the impact of key factors such as signal-to-noise ratio (SNR), channel state information (CSI) errors, and successive interference cancellation (SIC) errors. Additionally, the transformation of outage probability results from the <i>κ-µ</i> fading model to Nakagami-<i>m</i> and Rician fading models is explored, highlighting notable differences in system behaviour under varying fading conditions. These findings are crucial for enhancing the reliability and efficiency of IRS-NOMA systems across different wireless environments. All parameters have been rigorously evaluated over <i>κ-µ</i> fading channels and validated through detailed simulation results.</p>

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Outage performance of IRS-NOMA systems in κ-µ fading environment: a multi-user analysis considering imperfect CSI and SIC

  • 期刊论文

  • 发表日期：

    2025年7月24日

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  • Thaherbasha SK,
  • Nageena Parveen SD

摘要

The growing demand for high data rates and low latency in 6G wireless networks has driven the need for innovative communication solutions. Indoor cellular users often experience degraded signal quality due to obstructions and path loss caused by building structures, necessitating advanced technologies to ensure reliable, high-performance wireless connectivity. In this context, intelligent reflecting surfaces (IRS) and non-orthogonal multiple access (NOMA) have emerged as promising solutions for future wireless networks. IRS enhances the propagation environment by controlling signal reflections, while NOMA improves spectral efficiency by allowing multiple users to share the same bandwidth resource block simultaneously. This work investigates the outage probability of an IRS-NOMA system operating under a κ-µ faded channel, focusing on the impact of key factors such as signal-to-noise ratio (SNR), channel state information (CSI) errors, and successive interference cancellation (SIC) errors. Additionally, the transformation of outage probability results from the κ-µ fading model to Nakagami-m and Rician fading models is explored, highlighting notable differences in system behaviour under varying fading conditions. These findings are crucial for enhancing the reliability and efficiency of IRS-NOMA systems across different wireless environments. All parameters have been rigorously evaluated over κ-µ fading channels and validated through detailed simulation results.