For a wide range of wireless channels, symmetric alpha- stable (Sα2642S) is shown to be applicable to model the noise and/or the interference. However, the ongoing research of the optimal detection of the cooperative diversity in alpha- stable noise is limited to few closed-form expressions for special values of the characteristic exponent α2642 due to the unavailability of the probability density function of the noise. This limits the performance analysis of such networks. In this paper, to overcome this difficulty, we use the compound property of the S2642αS distribution to derive an approximate analytical expression for the error probability. This facilitates the calculation of the error performance of the cooperative amplify-and-forward diversity with optimal detection of binary signals in S2642αS noise for any value of 2642α. Computer simulations are used to verify the correctness and accuracy of the derived analytical error results. Our mathematical modeling and simulations prove that asymptotic maximum diversity order is achievable.


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    Title :

    Simplified Performance Analysis for Amplify-and-Forward Cooperative Diversity Optimal Detection of Binary Signals with Symmetric Alpha-Stable Noise


    Contributors:


    Publication date :

    2016-09-01


    Size :

    245110 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English