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On the difference of two sums of independent generalized gamma random variables with applications to error performance analysis and outage probability evaluation
Conference paper

On the difference of two sums of independent generalized gamma random variables with applications to error performance analysis and outage probability evaluation

Jay Cheng and Toby Berger
IEEE International Symposium on Information Theory - Proceedings, p.39
2003

Abstract

A random variable X is a generalized gamma random variable with parameters α, β, and γ. The difference D of two sums of independent generalized gamma random variables is considered. Of particular interest is the value of F D (0) which could be used to derive the error probability and outage probability of a communication system. In the special cases that the beta parameters are equal, the expressions for the PDF and the CDF could be simplified and expressed in terms of Laguerre polynomials.

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