Multivariate Nakagami-m distribution with constant correlation model
In this paper, a multivariate Nakagami-mdistribution is derived using Royen’s gamma distributions of one-factorial accompanying matrices for a constant correlation model. The cumulative distribution function (CDF), the probability density function (PDF) and the covariances are obtained in infi- nite...
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2009 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/51047 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/51047 |
| Access Level: | acceso abierto |
| Palabra clave: | Correlated fading Diversity Selection combiners Nakagami-m fading channels TEORIA DE LA SEÑAL Y COMUNICACIONES |
| Sumario: | In this paper, a multivariate Nakagami-mdistribution is derived using Royen’s gamma distributions of one-factorial accompanying matrices for a constant correlation model. The cumulative distribution function (CDF), the probability density function (PDF) and the covariances are obtained in infi- nite series form. From these results, we derive outage probabilities of selection combiners (SC) in both interference-limited and noise-limited scenarios with a constant correlation model over Nakagami-m fading assuming arbitrary average powers at each input of the combiner. |
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