Statistical analysis of the square ratio of two multivariate exponentially correlated α-μ distributions and its application in telecommunications

Аннотация

In this paper the exact probability density function of a multivariate α-μ distributed variables with exponentially correlated random variables is derived. Capitalizing on this the joint probability density function (JPDF) is derived for the square ratios of two multivariate exponentially correlated α-μ distributed variables. Closed form expressions are determined for the cumulative distribution function (CDF) and probability density function (PDF) of the maximal and minimal square ratio of two multivariate exponentially correlated α-μ distributions. Using these new formulae, SIR (signal-to-interference) based analysis of selection combining (SC) receiver through standard communication system performance measures can be performed.

Язык оригинала	Английский
Страницы (с-по)	152-159
Число страниц	8
Журнал	Mathematical and Computer Modelling
Том	54
Номер выпуска	1-2
DOI	https://doi.org/10.1016/j.mcm.2011.01.046
Состояние	Опубликовано - 1 июл 2011
Опубликовано для внешнего пользования	Да

ASJC Scopus subject areas

Modelling and Simulation
Computer Science Applications

Доступ к документу

10.1016/j.mcm.2011.01.046

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Statistical analysis of the square ratio of two multivariate exponentially correlated α-μ distributions and its application in telecommunications. / Milovanović, Gradimir V.; Stefanović, Mihajlo Č; Panić, Stefan R.; Anastasov, Jelena A.; Krstić, Dragana S.

В: Mathematical and Computer Modelling, Том 54, № 1-2, 01.07.2011, стр. 152-159.

Результат исследований: Материалы для журнала › Статья › рецензирование

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