Accurate Performance Approximations for MRC Over Log-Normal Fading Channels

Average channel capacity (ACC) and average symbol error probability (ASEP) are key metrics for evaluating wireless communication reliability under fading. This paper derives simple, low-complexity approximations for ASEP and ACC for maximal-ratio combining (MRC) receivers subject to log-normal (LN) fading, using a second-order Taylor series expansion of LN probability density function transforms. An asymptotic expression for ACC in the high-SNR regime is also provided. Numerical results show close agreement with exact solutions, while runtime comparisons demonstrate significantly reduced computational complexity compared to existing methods, making the proposed framework suitable for ultra-low latency wireless systems.

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Publication Details

Journal
IEEE Communications Letters
Published
2025-09-15
DOI
https://doi.org/10.1109/lcomm.2025.3609908
Primary Topic
Advanced Wireless Communication Techniques
Type
article
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article

Accurate Performance Approximations for MRC Over Log-Normal Fading Channels

Yassine Mouchtak, Faissal El Bouanani
IEEE Communications Letters
Advanced Wireless Communication Techniques
article

Accurate Performance Approximations for MRC Over Log-Normal Fading Channels

Yassine Mouchtak, Faissal El Bouanani
article en

Abstract

Average channel capacity (ACC) and average symbol error probability (ASEP) are key metrics for evaluating wireless communication reliability under fading. This paper derives simple, low-complexity approximations for ASEP and ACC for maximal-ratio combining (MRC) receivers subject to log-normal (LN) fading, using a second-order Taylor series expansion of LN probability density function transforms. An asymptotic expression for ACC in the high-SNR regime is also provided. Numerical results show close agreement with exact solutions, while runtime comparisons demonstrate significantly reduced computational complexity compared to existing methods, making the proposed framework suitable for ultra-low latency wireless systems.

IEEE Communications LettersVol. 29(11)
Mohammed V University (MA)
Openalex Percentile: Top 76%
Advanced Wireless Communication Techniques
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