Comparative Analysis of Hybrid Diversity Schemes under AWGN and Impulsive Noise Models for Rayleigh Fading Channels

Abstract

The widespread presence of impulsive noise caused by electro-mechanical switching devices, electromagnetic interference prompts the performance of diversity combining ventures. In this research work, we develop the performance survey in terms of BER (Bit error rate) versus SNR (Signal to noise ratio) over three wireless noise models; additive white Gaussian noise (AWGN), Middleton class-A and Symmetric alpha stable (SαS) noise model under Rayleigh fading channel. We aim to employ the probability density function (PDF) of the generated Class-A and S $\alpha$ S noise distribution to compare the better performance rate with parameter variation. Statistical analyzation has been done in the presence of three noise models on the BER response of data transmission of SC-MRC (Hybrid Selection-Maximal ratio Combiner) and SC-EGC (Hybrid Selection-Equal Gain Combiner) techniques in SIMO (Single input Multiple Output) device. We verified that for each noise model hybrid diversity combining schemes show better performance. The theory is authenticated by our simulation results.