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

fYear

2008

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE

Conference_Location

New Orleans, LO

ISSN

1930-529X

Print_ISBN

978-1-4244-2324-8

Type

conf

DOI

10.1109/GLOCOM.2008.ECP.840

Filename

4698615