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<p>This study presents the covert performance analysis of an intelligent omni-surface (IOS)-assisted non-orthogonal multiple access (NOMA) network, considering the effects of correlated channels and imperfections in successive interference cancellation (SIC). Recent advancements in device miniaturization have enabled the integration of a large number of IOS elements within a small area. As a result, the channels are no longer independent and exhibit some correlation. This introduces new challenges in channel modeling and analysis. By deriving the statistics of the correlated channel gains, we propose suitable distribution models for the warden (Willie) and the covert user (Bob) under different levels of correlation. The validity of these distribution models is confirmed using quantile-quantile (Q-Q) plots. We analytically derive Willie’s detection error probability (DEP), assuming the worst-case scenario where an optimal detection threshold is employed. Next, we calculate the optimal NOMA power allocation coefficients and phase shift matrices of the IOS to maximize the covert rate. Simulation results show that in the high-SNR regime, the covert rate of the proposed IOS-NOMA network increases by 4 bps/Hz each time the inter-element spacing is halved. Additionally, we derive a closed-form expression for the covert outage probability, validated through Monte Carlo simulations.</p>

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Analysis of the impact of correlated channels on the outage performance of a NOMA-based covert IOS network

  • 期刊论文

  • 发表日期：

    2025年3月31日

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  • Romera Joan S.,
  • Manimekalai T.,
  • Laxmikandan T.

摘要

This study presents the covert performance analysis of an intelligent omni-surface (IOS)-assisted non-orthogonal multiple access (NOMA) network, considering the effects of correlated channels and imperfections in successive interference cancellation (SIC). Recent advancements in device miniaturization have enabled the integration of a large number of IOS elements within a small area. As a result, the channels are no longer independent and exhibit some correlation. This introduces new challenges in channel modeling and analysis. By deriving the statistics of the correlated channel gains, we propose suitable distribution models for the warden (Willie) and the covert user (Bob) under different levels of correlation. The validity of these distribution models is confirmed using quantile-quantile (Q-Q) plots. We analytically derive Willie’s detection error probability (DEP), assuming the worst-case scenario where an optimal detection threshold is employed. Next, we calculate the optimal NOMA power allocation coefficients and phase shift matrices of the IOS to maximize the covert rate. Simulation results show that in the high-SNR regime, the covert rate of the proposed IOS-NOMA network increases by 4 bps/Hz each time the inter-element spacing is halved. Additionally, we derive a closed-form expression for the covert outage probability, validated through Monte Carlo simulations.