On the Multivariate alpha-mu Distribution: New Exact Analytical Formulations

Autor(es)

Rabelo, Guilherme Silveira ^[1] ; Yacoub, Michel Daoud ^[1] ; Amaral de Souza, Rausley Adriano ^[2]

Afiliação do(s) autor(es)

^[1] Univ Estadual Campinas, Sch Elect & Comp Engn, Dept Commun, Wireless Technol Lab, BR-13083852 Campinas, SP - Brazil

^[2] Natl Inst Telecommun INATEL, BR-37540000 Santa Rita Do Sapucai - Brazil

• Tipo de documento: Artigo Científico
• Fonte: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY; v. 60, n. 8, p. 4063-4070, OCT 2011.
• Citações Web of Science: 5

Resumo

Correlation among channels is a physical phenomenon that affects the performance of a wireless communication system and that cannot be neglected in a myriad of realistic fading scenarios. Providing computable mathematical means to better characterize the corresponding statistics is certainly of interest to any design engineer. In this context, this paper further extends the statistical correlation investigations of the alpha-mu fading model, presenting a new, exact, and easily computable series-type formulation for the multivariate alpha-mu joint cumulative distribution function (JCDF). Along with this general result and capitalizing on practical assumptions, an alternative, simpler formulation for the alpha-mu multivariate joint density function and its corresponding distribution function are also provided. These formulations are still general and yet compact, assuming arbitrary fading parameters and correlations among the marginal variates. An important feature of the series-type distribution is that any truncation version of it is a valid distribution. As an application example, the truncated series-based outage probability of the selection combining scheme is computed and compared with that obtained by means of numerical methods and simulations. The results show that a small number of terms of the series are sufficient to provide excellent agreement between approximate and exact results. (AU)

• Processo FAPESP: 09/04291-4 - Desempenho de Sistemas sem Fio em Condições Muito Severas de Desvanecimento
• Beneficiário: Guilherme Silveira Rabelo
• Modalidade de apoio: Bolsas no Brasil - Mestrado