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<p>Most works on performance analysis of wireless systems assume the presence of additive Gaussian noise in the system; however, in practice, the system performance is also affected by non-Gaussian noise. In a practical wireless system, the channel experiences the cumulative impact of multipath and shadowing. Thus, this paper considers the scenario that accounts for shadowed Beaulieu-Xie and extended <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(\eta\)</EquationSource> </InlineEquation>-<InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(\mu\)</EquationSource> </InlineEquation> fadings, showing its importance in modeling 5G and beyond communication with non-Gaussian noise. Further, we investigate the average bit error probability where we assume that the noise impacting received data is characterized by additive Laplacian noise. In addition, we also explored the impact of diversity on the received data and noted that diversity increases the overall received signal-to-noise ratio, which in turn reduces the probability of data being corrupted. In addition, we present an asymptotic analysis to cater for the performance with simpler functions for single and multiple receiving antennas. Monte-Carlo simulations validate the analytical expressions.</p>

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SEP Analysis on the Shadowed Beaulieu-Xie and Extended \(\eta\)-\(\mu\) Fadings in Additive Laplacian Noise

  • 期刊论文

  • 发表日期：

    2026年2月12日

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  • Ankit Jain,
  • Imran Ullah Khan,
  • Puspraj Singh Chauhan,
  • Vimal Bhatia

摘要

Most works on performance analysis of wireless systems assume the presence of additive Gaussian noise in the system; however, in practice, the system performance is also affected by non-Gaussian noise. In a practical wireless system, the channel experiences the cumulative impact of multipath and shadowing. Thus, this paper considers the scenario that accounts for shadowed Beaulieu-Xie and extended \(\eta\) - \(\mu\) fadings, showing its importance in modeling 5G and beyond communication with non-Gaussian noise. Further, we investigate the average bit error probability where we assume that the noise impacting received data is characterized by additive Laplacian noise. In addition, we also explored the impact of diversity on the received data and noted that diversity increases the overall received signal-to-noise ratio, which in turn reduces the probability of data being corrupted. In addition, we present an asymptotic analysis to cater for the performance with simpler functions for single and multiple receiving antennas. Monte-Carlo simulations validate the analytical expressions.