Sum and difference of two squared correlated Nakagami variates in connection with the McKay distribution

Henrik Holm; Mohamed Slim Alouini

doi:10.1109/TCOMM.2004.833019

Sum and difference of two squared correlated Nakagami variates in connection with the McKay distribution

Henrik Holm^*, Mohamed Slim Alouini

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

70 Scopus citations

Abstract

General formulas for the probability density function of the sum and the difference of two correlated, not necessarily identically distributed, squared Nakagami Variates (or equivalently, gamma variates) are derived. These expressions are shown to be in the form of the McKay "Bessel function" distributions. In addition, formulas for the moments of these distributions, in terms of the Gauss hypergeometric function, are provided. An application, of these new results relevant to the calculation of outage probability in the presence of self-interference is discussed.

Original language	English (US)
Pages (from-to)	1367-1376
Number of pages	10
Journal	IEEE Transactions on Communications
Volume	52
Issue number	8
DOIs	https://doi.org/10.1109/TCOMM.2004.833019
State	Published - Aug 2004
Externally published	Yes

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/TCOMM.2004.833019

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abstract = "General formulas for the probability density function of the sum and the difference of two correlated, not necessarily identically distributed, squared Nakagami Variates (or equivalently, gamma variates) are derived. These expressions are shown to be in the form of the McKay {"}Bessel function{"} distributions. In addition, formulas for the moments of these distributions, in terms of the Gauss hypergeometric function, are provided. An application, of these new results relevant to the calculation of outage probability in the presence of self-interference is discussed.",

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year = "2004",

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AB - General formulas for the probability density function of the sum and the difference of two correlated, not necessarily identically distributed, squared Nakagami Variates (or equivalently, gamma variates) are derived. These expressions are shown to be in the form of the McKay "Bessel function" distributions. In addition, formulas for the moments of these distributions, in terms of the Gauss hypergeometric function, are provided. An application, of these new results relevant to the calculation of outage probability in the presence of self-interference is discussed.

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JO - IEEE Transactions on Communications

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Sum and difference of two squared correlated Nakagami variates in connection with the McKay distribution

Abstract

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