Title :
Bivariate G distribution with arbitrary fading parameters
Author :
Trigui, Imene ; Laourine, Amine ; Affes, Sofiene ; Stéphenne, Alex
Author_Institution :
INRS-EMT, Montreal, QC, Canada
Abstract :
The correlated bivariate G distribution with arbitrary and not necessarily identical parameters is addressed in this paper. This compound distribution, which is a mixture of arbitrary correlated Rayleigh and inverse Gaussian random variables (RVs), is very convenient for modeling correlated fading shadowing channels. New closed-form expressions for the probability density function (PDF), the cumulative density function (CDF) and the joint moments are provided to statistically characterize the bivariate G distribution. Furthermore, simpler expressions are obtained when considering independent inverse-Gaussian shadowing. Capitalizing on these theoretical expressions for the statistical characteristics of the correlated G distribution, the performance analysis of various diversity reception techniques, such as selection diversity (SD) and maximal ratio combining (MRC) over bivariate G fading channels is presented.
Keywords :
Rayleigh channels; correlation methods; diversity reception; arbitrary fading parameters; compound distribution; correlated bivariate G distribution; inverse Gaussian random variables; maximal ratio combining; selection diversity; Circuits and systems; Closed-form solution; Digital communication; Distributed computing; Diversity reception; Fading; Performance analysis; Rayleigh channels; Shadow mapping; Statistical distributions; Bit error probability; bivariate G distribution; correlated multipath-shadowing fading; maximal ratio combining (MRC); outage probability; selection diversity (SD);
Conference_Titel :
Signals, Circuits and Systems (SCS), 2009 3rd International Conference on
Conference_Location :
Medenine
Print_ISBN :
978-1-4244-4397-0
Electronic_ISBN :
978-1-4244-4398-7
DOI :
10.1109/ICSCS.2009.5412684
