DocumentCode
2076882
Title
MMSE-based MIMO precoder using partial channel information
Author
Bahrami, Hamid Reza ; Le-Ngoc, Tho
Author_Institution
Dept. of ECE, McGill Univ., Montreal, Que., Canada
Volume
1
fYear
2005
fDate
22-24 Aug. 2005
Firstpage
211
Abstract
This paper presents a precoder design based on the minimum mean squared error (MMSE) criterion and using the knowledge of only the transmit and receive correlation matrices of the underlying MIMO channel. The optimal transformations are shown to be eigen-beamformers, which transmit the signal along eigenvectors of the transmit correlation matrix. Power loading across the eigenbeams are determined based on eigenvalues of both transmit and receive correlation matrices and can be viewed as a waterpouring policy. Performance of the proposed precoders using partial channel information in various MIMO channels is evaluated and compared to that of precoders based on full channel knowledge at transmitter. It was shown that as the number of the transmit and receive antennas increases, the MMSE-based MIMO precoders using partial channel knowledge can achieve the performance of precoders using full channel knowledge. Furthermore, the channel that gives the best performance is the one with only one strong eigen mode for cases with a large number of receive antenna or a small number of transmit antenna. For small number of receive antennas or large number of transmit antennas, the full rank channel with equal gain eigen modes will gives the best performance.
Keywords
MIMO systems; channel coding; eigenvalues and eigenfunctions; least mean squares methods; precoding; wireless channels; MIMO precoder; MMSE criterion; correlation matrices; eigen-beamformers; eigenvalues; eigenvectors; minimum mean squared error criterion; partial channel information; partial channel knowledge; receive antenna; transmit antenna; waterpouring policy; Bit error rate; Eigenvalues and eigenfunctions; Helium; MIMO; Performance gain; Receiving antennas; Space time codes; Transmitters; Transmitting antennas; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless And Mobile Computing, Networking And Communications, 2005. (WiMob'2005), IEEE International Conference on
Print_ISBN
0-7803-9181-0
Type
conf
DOI
10.1109/WIMOB.2005.1512841
Filename
1512841
Link To Document