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|Title:||On the Sum and the Maximum of Non-identically Distributed. Composite η − μ/gamma Variates Using a Mixture Gamma. Distribution with Applications to Diversity Receivers.|
|Keywords:||Mixture gamma distribution;Independent and non-identically distributed;Outage probability;Average bit error rate probability;Average channel capacity|
|Citation:||IEEE Transactions on Vehicular Technology, pp. 10048-10052: (2016)|
|Abstract:||In this paper, the statistical characterizations of the sum and the maximum of independent and non-identically distributed (i:n:d) composite /gamma variates are derived using a mixture gamma (MG) distribution. The statistical properties, namely, probability density function (PDF), cumulative distribution function (CDF), and moment generating function (MGF) are obtained in general unified exact analytic expressions. These statistical results are then used to analyse outage probability (OP), average bit error rate probability (ABEP), and average channel capacity (C) of maximal ratio combining (MRC) and selection combining (SC) schemes over i:n:d composite /gamma fading channels. The validation of our derived expressions is verified by comparing the numerical and simulation results.|
|Appears in Collections:||Dept of Electronic and Computer Engineering Research Papers|
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