DocumentCode
1348914
Title
Symbol Error Probability of Rectangular QAM in MRC Systems With Correlated
–
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
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