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<p>In this article, we examine the performance of an intelligent reflecting surface (IRS)-assisted single-input multiple-output (SIMO) wireless communication system over Rician fading channels. The system comprises a single-antenna transmitter, an IRS, and a multi-antenna receiver employing maximal ratio combining to maximize the desired signal gain and effectively combine the multi-path components to enhance signal quality. We derive novel closed-form expressions for the average symbol error probability (ASEP) for both rectangular quadrature amplitude modulation (QAM) and cross-QAM schemes using a computationally efficient moment-generating function-based approach. Further, we provide asymptotic ASEP expressions, revealing the system’s diversity order as a function of the number of IRS elements and receiving antennas. Our analysis examines the impact of key parameters such as the number of reflecting elements, receiving antennas, and fading severity, on ASEP performance. Results indicate that increasing the IRS elements and diversity branches improves ASEP performance, while severe fading degrades performance. Monte Carlo simulations validate the accuracy of our derived analytical expressions as well as the asymptotic expressions.</p>

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Analytical ASEP performance of IRS-aided SIMO wireless communications in rician fading channel with MRC receiver

  • 期刊论文

  • 发表日期：

    2026年7月25日

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  • Sanjeet Kumar Bhagat,
  • D. Dixit,
  • P. R. Sahu

摘要

In this article, we examine the performance of an intelligent reflecting surface (IRS)-assisted single-input multiple-output (SIMO) wireless communication system over Rician fading channels. The system comprises a single-antenna transmitter, an IRS, and a multi-antenna receiver employing maximal ratio combining to maximize the desired signal gain and effectively combine the multi-path components to enhance signal quality. We derive novel closed-form expressions for the average symbol error probability (ASEP) for both rectangular quadrature amplitude modulation (QAM) and cross-QAM schemes using a computationally efficient moment-generating function-based approach. Further, we provide asymptotic ASEP expressions, revealing the system’s diversity order as a function of the number of IRS elements and receiving antennas. Our analysis examines the impact of key parameters such as the number of reflecting elements, receiving antennas, and fading severity, on ASEP performance. Results indicate that increasing the IRS elements and diversity branches improves ASEP performance, while severe fading degrades performance. Monte Carlo simulations validate the accuracy of our derived analytical expressions as well as the asymptotic expressions.