DocumentCode
2042923
Title
Capacity optimization for ricean correlated MIMO channels with decorrelator receiver
Author
Pandula, Shyam ; Paris, Bernd-Peter
Author_Institution
Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA
fYear
2008
fDate
19-21 March 2008
Firstpage
374
Lastpage
378
Abstract
This paper addresses the capacity optimization problem for MIMO wireless channels with a non-zero mean and transmit antenna correlation. With a decorrelator receiver, the capacity of the MIMO system is a function of the diagonal elements of an inverted noncentral Wishart distributed matrix. Hence, finding the average capacity is difficult. We simplify the problem by approximating the SNR of each spatial stream by a standard noncentral Chi-squared random variable. Using the moments of the SNR, we obtain a Taylor series approximation for the average capacity that is significantly better than the commonly used bound via Jensen´s inequality. The obtained Taylor series approximation is used to design a linear precoder that maximizes the total average capacity of the system. Simulation results are provided to illustrate the performance gain.
Keywords
MIMO communication; approximation theory; channel capacity; matrix algebra; optimisation; precoding; radio receivers; wireless channels; Jensen´s inequality; MIMO wireless channels; Ricean correlated MIMO channels; SNR approximation; Taylor series approximation; capacity optimization; decorrelator receiver; inverted noncentral Wishart distributed matrix; linear precoder; nonzero mean; standard noncentral Chi-squared random variable; transmit antenna correlation; Channel state information; Decorrelation; Fading; Frequency; Hafnium; MIMO; Random variables; Receiving antennas; Taylor series; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Sciences and Systems, 2008. CISS 2008. 42nd Annual Conference on
Conference_Location
Princeton, NJ
Print_ISBN
978-1-4244-2246-3
Electronic_ISBN
978-1-4244-2247-0
Type
conf
DOI
10.1109/CISS.2008.4558555
Filename
4558555
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