DocumentCode :
1348914
Title :
Symbol Error Probability of Rectangular QAM in MRC Systems With Correlated \\eta \\mu Fa
Author :
Asghari, Vahid ; da Costa, Daniel Benevides ; Aissa, Sonia
Author_Institution :
Energie, Mater. et Telecommun. (EMT), Univ. of Quebec, Montreal, QC, Canada
Volume :
59
Issue :
3
fYear :
2010
fDate :
3/1/2010 12:00:00 AM
Firstpage :
1497
Lastpage :
1503
Abstract :
In the context of η- μ generalized fading scenarios, this paper provides a general closed-form expression for the average symbol error probability (SEP) of arbitrary M-ary quadrature amplitude modulation (QAM) constellations in maximal-ratio combining (MRC) schemes over non-identical correlated channels. For such a scenario, the moment-generating function (MGF) of the signal-to-noise ratio (SNR) at the combiner output is obtained by rearranging the Gaussian components used to model the correlation between the diversity branches. The average SEP is then derived in terms of Lauricella multivariate hypergeometric functions, which can be implemented in most popular numerical softwares, such as Mathematica. The proposed analytical expressions are validated through Monte Carlo simulations, and insightful discussions are provided from the numerical results.
Keywords :
Gaussian processes; Monte Carlo methods; diversity reception; error statistics; fading channels; quadrature amplitude modulation; Gaussian components; Lauricella multivariate hypergeometric functions; MGF; MRC schemes; MRC systems; Mathematica; Monte Carlo simulations; SEP; SNR; analytical expressions; arbitrary m-ary quadrature amplitude modulation; correlated η-μ fading channels; maximal-ratio combining; moment-generating function; numerical softwares; rectangular QAM; signal-to-noise ratio; symbol error probability; $eta$$mu$ fading; Correlated channels; maximal-ratio combining (MRC); rectangular quadrature amplitude modulation (QAM); symbol error probability (SEP);
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2009.2037638
Filename :
5345735
Link To Document :
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