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
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;
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
DOI :
10.1109/CISS.2008.4558555