DocumentCode
1147668
Title
General Capacity Bounds for Spatially Correlated Rician MIMO Channels
Author
McKay, Matthew R. ; Collings, Iain B.
Author_Institution
ICT Centre, Univ. of Sydney, NSW, Australia
Volume
51
Issue
9
fYear
2005
Firstpage
3121
Lastpage
3145
Abstract
This paper considers the capacity of spatially correlated Rician multiple-input multiple-output (MIMO) channels. We consider the general case with double-sided correlation and arbitrary rank channel means. We derive tight upper and lower bounds on the ergodic capacity. In the particular cases when the numbers of transmit and receive antennas are equal, or when the correlation is single sided, we derive more specific bounds which are computationally efficient. The bounds are shown to reduce to known results in cases of independent and identically distributed (i.i.d.) and correlated Rayleigh MIMO channels. We also analyze the outage characteristics of the correlated Rician MIMO channels at high signal-to-noise ratio (SNR). We derive the mean and variance of the mutual information and show that it is well approximated by a Gaussian distribution. Finally, we present numerical results which show the effect of the antenna configuration, correlation level (angle spreads), Rician
-factor, and the geometry of the dominant Rician paths.
-factor, and the geometry of the dominant Rician paths.Keywords
Gaussian distribution; MIMO systems; Rayleigh channels; Rician channels; antenna arrays; channel capacity; receiving antennas; transmitting antennas; Gaussian distribution; MIMO channels; Rayleigh channels; Rician channel; channel capacity; double-sided correlation; independent identically distributed channel; multiple-input multiple-output; mutual information; receive antennas; spatially correlated channel; transmit antenna; Australia; Computer vision; Fading; MIMO; Rayleigh channels; Rayleigh scattering; Receiving antennas; Rician channels; Signal analysis; Signal to noise ratio; Capacity; Rician; multiple-input multiple-output (MIMO); spatial fading correlation;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2005.853325
Filename
1499046
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