DocumentCode
3243991
Title
Infinite Series Representations of the Trivariate and Quadrivariate Nakagami-m distributions
Author
Dharmawansa, K.D.P. ; Rajatheva, R.M.A.P. ; Tellambura, C.
Author_Institution
Asian Inst. of Technol., Pathumthani
fYear
2007
fDate
24-28 June 2007
Firstpage
1114
Lastpage
1118
Abstract
In this paper, we derive new infinite series representations for the quadrivariate Nakagami-m distribution and cumulative distribution functions (cdf). we make use of the Miller´s approach and the Dougall´s identity to derive the joint density function. The classical joint density function of exponentially correlated Nakagami-m variables can be identified as a special case of our joint density function. Our results are based on the most general arbitrary correlation matrix possible. Moreover, the trivariate density function and cdf for an arbitrary correlation matrix is also derived from our main result. Bounds on the error resulting from truncation of the infinite series are also presented. Finally, numerical results are presented to verify the accuracy of our formulation.
Keywords
Nakagami channels; higher order statistics; matrix algebra; correlation matrix; cumulative distribution functions; infinite series representations; joint density function; quadrivariate Nakagami-m distributions; trivariate Nakagami-m distributions; Communications Society; Covariance matrix; Density functional theory; Distribution functions; Log-normal distribution; Nakagami distribution; Rayleigh channels; Rician channels; Weibull distribution; Weibull fading channels;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2007. ICC '07. IEEE International Conference on
Conference_Location
Glasgow
Print_ISBN
1-4244-0353-7
Type
conf
DOI
10.1109/ICC.2007.189
Filename
4288860
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