Precoder Design Based on Correlation Matrices for MIMO Systems

Author

Bahrami, Hamid Reza ; Le-Ngoc, Tho

Author_Institution

McGill Univ., Montreal, Que.

Volume

5

Issue

12

fYear

2006

fDate

12/1/2006 12:00:00 AM

Firstpage

3579

Lastpage

3587

Abstract

This paper presents a general framework for precoder designs for MIMO systems using partial channel knowledge on the transmit and receive correlation matrices at the transmitter. It is shown that the optimal linear precoder for any uncoded and coded MIMO system based on the MMSE or ergodic capacity criterion, or for an orthogonal ST coded MIMO system based on the minimum PEP criterion, is an eigen-beamformer that transmits the signal along eigenvectors of the transmit correlation matrix. Based on the eigen-values of both the transmit and receive correlation matrices, power loading across the eigen-beams is determined by water-pouring policy. Individual effects of the transmit and receive correlation matrices on the system performance are investigated. Simulation results show noticeable performance improvement over MIMO systems without precoder, particularly when the transmit correlation matrix has low rank

Keywords

Bit error rate; Channel state information; Decoding; Feedback; Information rates; MIMO; Pairwise error probability; Resource management; System performance; Transmitters;

fLanguage

English

Journal_Title

Wireless Communications, IEEE Transactions on

Publisher

ieee

ISSN

1536-1276

Type

jour

DOI

10.1109/TWC.2006.256980

Filename

4027592