DocumentCode :
2056973
Title :
Multiple-antenna capacity in a deterministic Rician fading channel
Author :
Godavarti, Mahesh ; Hero, Alfred O.
Author_Institution :
Altra Broadband Inc., Irvine, CA, USA
fYear :
2002
fDate :
2002
Firstpage :
251
Abstract :
We calculate the capacity of a multiple-antenna wireless link in a Rician fading channel. We consider the standard Rician fading channel where the channel coefficients are modeled as independent circular Gaussian random variables with non-zero means (non-zero specular component). The channel coefficients of this model are constant over a block of T symbol periods but, independent over different blocks. For such a model, the capacity and capacity achieving signals are dependent on the specular component. We obtain asymptotic expressions for capacity in the low and high SNR scenarios. We also consider the capacity of the wireless system that uses pilot symbol-based training to estimate the channel. We establish that for low SNR the specular component of channel coefficients completely determines the form of the optimum signal whereas for high SNR it has no effect on the optimum signal structure. We further conclude that beamforming is the optimum signaling strategy for low SNR whereas for high SNR the optimum Signal structure is same as that for purely Rayleigh fading channels.
Keywords :
Rician channels; channel capacity; channel estimation; radio links; Rician fading channel; SNR; asymptotic expressions; beamforming; channel capacity; channel coefficients; independent circular Gaussian random variables; multiple-antenna wireless link; optimum signaling strategy; pilot symbol-based training; Additive noise; Array signal processing; Channel capacity; Code standards; Covariance matrix; Random variables; Rician channels; Signal analysis; Signal to noise ratio; Space time codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7501-7
Type :
conf
DOI :
10.1109/ISIT.2002.1023523
Filename :
1023523
Link To Document :
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