Title :
A trivariate nakagami-m distribution with arbitrary covariance matrix and applications to generalized-selection diversity receivers
Author :
Peppas, Kostas ; Sagias, Nikos C.
Author_Institution :
Lab. of Mobile Commun., Nat. Centre for Sci. Res.-Demokritos, Athens, Greece
fDate :
7/1/2009 12:00:00 AM
Abstract :
This paper deals with a trivariate Nakagami-m distribution derived from the diagonal elements of a Wishart matrix. For this distribution, infinite series representations for its probability density and cumulative distribution functions are derived having an arbitrary covariance matrix and integer-order fading parameters. Moreover, upper bounds on the error resulting from truncating the infinite series are obtained. Based on the derived formulas, the performance of triple-branch generalized selection combining (GSC) receivers is analyzed. For this type of receivers, the outage and the average bit error probability for a variety of modulation schemes are analytically obtained. The performance of GSC receivers is compared to that of conventional selection and maximal-ratio diversity schemes. In order to check the accuracy and convergence of the derived formulas, various performance evaluation results are presented and compared to equivalent simulation ones.
Keywords :
Nakagami channels; covariance matrices; diversity reception; error statistics; modulation; radio receivers; Wishart matrix; bit error probability; covariance matrix; cumulative distribution function; fading channel; generalized-selection diversity receivers; modulation scheme; probability density function; trivariate Nakagami-m distribution; Covariance matrix; Distribution functions; Diversity reception; Error analysis; Error probability; Fading; Nakagami distribution; Performance analysis; Statistical distributions; Upper bound; Average bit error probability (ABEP), correlated statistics, diversity, generalized-selection diversity, maximalratio combining (MRC), multichannel receivers, Nakagami-m fading, order statistics, outage probability, selection diversity, stochastic models, Wishart matrix;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2009.07.070071