Title :
MIMO Transmitter Optimization with Mean and Covariance Feedback for Low SNR
Author :
Ramalingam, Neevan ; Wang, Zhengdao
Author_Institution :
Dept. of ECpE, Iowa State Univ., Ames, IA
Abstract :
Multiple-input multiple-output system capacity can be improved when there is channel state information at the transmitter (CSIT). This paper proposes a transmission optimization strategy that aims to maximize the mutual information using statistical CSIT. A second order approximation method is used to optimize the transmit covariance matrix. The proposed scheme is compared to the first order approximation, equal power allocation, and waterfilling schemes.
Keywords :
MIMO communication; approximation theory; array signal processing; channel capacity; covariance matrices; feedback; optimisation; radio transmitters; statistical analysis; wireless channels; MIMO transmitter optimization; beamforming; channel state information; covariance feedback; covariance matrix; mean feedback; multiple-input multiple-output system capacity; second order approximation method; statistical analysis; Array signal processing; Channel capacity; Covariance matrix; Feedback; MIMO; Mutual information; Polynomials; Receiving antennas; Signal to noise ratio; Transmitters;
Conference_Titel :
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Conference_Location :
New Orleans, LO
Print_ISBN :
978-1-4244-2324-8
DOI :
10.1109/GLOCOM.2008.ECP.840
