DocumentCode :
2396971
Title :
A simple exponential integral representation of the generalized Marcum Q-function QM (a, b) for real-order M with applications
Author :
Annamalai, A., Jr. ; Tellambura, C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Prairie View A&M Univ., Prairie View, TX
fYear :
2008
fDate :
16-19 Nov. 2008
Firstpage :
1
Lastpage :
7
Abstract :
This article derives a new exponential-type integral representation for the generalized M-th order Marcum Q-function, QM(alpha, beta), when M is not necessarily an integer. Our new representation includes a well-known result due to Helstrom for the special case of positive integer M and an additional integral correction term that vanishes when M is an integer. The new form has both computational utility (numerous existing computational algorithms for QM(alpha, beta) are limited to integer M) and analytical utility (e.g., performance analysis of selection diversity in bivariate Nakagami-m fading with arbitrary fading severity index, computation of the complementary cumulative distribution function of a noncentral chi-square random variable for both odd and even orders, unified analysis of correlated binary and quaternary modulations over generalized fading channels, development of a Markovian threshold model for packet errors in correlated Nakagami-m fading channels and so on). Our alternative representation for QM(alpha, beta) also leads into a new, exact exponential integral formula for the cumulative distribution function (CDF) of signal-to-noise ratio (SNR) at the output of a dual-diversity selection combiner in correlated Nakagami-m fading (including the non-integer fading index case), which several researchers in the past have concluded as unobtainable. Simple yet tight upper and lower bounds for QM(alpha, beta) (for any arbitrary real order Mges0.5) are also derived.
Keywords :
Markov processes; Nakagami channels; integral equations; Markovian threshold model; bivariate Nakagami-m fading; chi-square random variable; computational utility; cumulative distribution function; exponential integral representation; generalized Marcum Q-Function; signal-to-noise ratio; Algorithm design and analysis; Application software; Distributed computing; Distribution functions; Diversity methods; Fading; Nakagami distribution; Performance analysis; Random variables; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Military Communications Conference, 2008. MILCOM 2008. IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-2676-8
Electronic_ISBN :
978-1-4244-2677-5
Type :
conf
DOI :
10.1109/MILCOM.2008.4753297
Filename :
4753297
Link To Document :
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