Performance evaluation of Nakagami‐m fading with impulsive noise

The main motivation for considering noise to be Gaussian is the central limit theorem (CLT), which accounts for the perturbations that are additive in nature. However, a communication link may be severely affected due to the presence of potential non‐Gaussian sources of noise. This paper considers a...

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Bibliographic Details
Published in:IET communications Vol. 15; no. 3; pp. 364 - 373
Main Authors: Ashraf, Umer, Begh, Gh. Rasool
Format: Journal Article
Language:English
Published: Stevenage John Wiley & Sons, Inc 01.02.2021
Wiley
Subjects:
Central limit theorem
Communication
Energy consumption
Error analysis
Error statistics (inc. error probability)
Fading
Interpolation and function approximation (numerical analysis)
Modulation and coding methods
Monte Carlo methods
Monte Carlo simulation
Normal distribution
Parameters
Performance evaluation
Radio links and equipment
Random noise
Random variables
ISSN:1751-8628, 1751-8636
Online Access:Get full text
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Summary:The main motivation for considering noise to be Gaussian is the central limit theorem (CLT), which accounts for the perturbations that are additive in nature. However, a communication link may be severely affected due to the presence of potential non‐Gaussian sources of noise. This paper considers an important class of non‐Gaussian noise known as symmetric alpha‐stable (SαS) noise. To this end, using binary phase‐shift keying (BPSK) modulation, the bit‐error rate (BER) performance of a communication link subjected to Nakagami‐m fading and SαS noise is investigated by employing three approaches: exact, asymptotic and approximate. A closed‐form expression for the probability of error over Nakagami‐m fading subjected to bi‐parameter Cauchy–Gaussian mixture noise (BCGM) model is obtained. The effect of fading parameter (m) and impulsive index (α) on the BER is analyzed for different settings. The derived results corroborate with Monte Carlo simulations.
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ISSN:1751-8628
1751-8636
DOI:10.1049/cmu2.12065