DocumentCode :
810070
Title :
Outage probability for maximal ratio combining of arbitrarily correlated faded signals corrupted by multiple Rayleigh interferers
Author :
Cui, X.W. ; Zhang, Q.T. ; Feng, Z.M.
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Volume :
55
Issue :
1
fYear :
2006
Firstpage :
383
Lastpage :
386
Abstract :
Due to the functional complexity of its signal-to-interference (SIR) ratio, the outage probability of maximal ratio combining is available only for certain independent and identically distributed (i.i.d.) fading environments. In this paper, we partially relax this restriction by allowing the signal channel-gain vector to follow a general fading distribution with arbitrary spatial correlation. The problem is tackled in a novel framework. The key step is to represent the probability density of the reciprocal of the SIR, conditioned on the signal vector, as the higher order derivative of a simple exponential function in signal power, whereby a generic formula for outage probability can be determined. The application of the generic formula to Rayleigh, Rician, and Nakagami faded signals is elaborated. Numerical results are also presented for illustration.
Keywords :
Nakagami channels; Rayleigh channels; Rician channels; mobile radio; probability; Nakagami faded signals; Rician signals; arbitrarily correlated faded signals; arbitrary spatial correlation; maximal ratio combining; multiple Rayleigh interferers; outage probability; signal channel-gain vector; Array signal processing; Cost function; Diversity reception; Fading; Interchannel interference; Land mobile radio; Performance gain; Rayleigh channels; Rician channels; Signal to noise ratio; Correlated Nakagami fading; correlated Rayleigh fading; correlated Rician fadaing; maximal ratio combining (MRC); outage probability;
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2005.861186
Filename :
1583946
Link To Document :
بازگشت