DocumentCode :
1530054
Title :
Maximal-ratio combining over Nakagami fading channels with an arbitrary branch covariance matrix
Author :
Zhang, Q.T.
Author_Institution :
Dept. of Electr. Eng., Ryerson Polytech. Inst., Toronto, Ont., Canada
Volume :
48
Issue :
4
fYear :
1999
fDate :
7/1/1999 12:00:00 AM
Firstpage :
1141
Lastpage :
1150
Abstract :
The error probability of maximal ratio combiners (MRCs) in a correlated Nakagami environment with an arbitrary branch covariance matrix is not available in the literature although some work has been done for two special cases with constant and exponential correlations. Correlation structures of this type, though of theoretical interest, may not match to practical situations, even for an antenna array of a totally symmetrical configuration. In this paper, we tackle the general problem by virtue of characteristic functions, avoiding the difficulty of explicitly obtaining the probability density function (PDF) for the signal-to-noise ratio (SNR) at the MRC output. We derive a simple closed-form solution for arbitrarily correlated channels with an integral fading parameter and a solution in the form of a one-fold integral for a fading parameter of nonintegral values. Simple algorithms have also been developed for their efficient implementation. The formulas are then used to analyze two possible antenna configurations for a base station, ending up with some findings of interest to system design
Keywords :
antenna arrays; cellular radio; covariance matrices; error statistics; fading channels; Nakagami fading channels; antenna array; antenna configuration; arbitrary branch covariance matrix; base station; characteristic functions; closed-form solution; correlated channels; correlation structures; error probability; integral fading parameter; maximal-ratio combining; probability density function; signal-to-noise ratio; symmetrical configuration; Antenna arrays; Antenna theory; Base stations; Closed-form solution; Covariance matrix; Diversity reception; Error probability; Fading; Probability density function; Signal to noise ratio;
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/25.775363
Filename :
775363
Link To Document :
بازگشت