Precoder Design Based on Correlation Matrices for MIMO Systems

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...

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Vydáno v:IEEE transactions on wireless communications Ročník 5; číslo 12; s. 3579 - 3587
Hlavní autoři: Bahrami, H.R., Tho Le-Ngoc
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway, NJ IEEE 01.12.2006
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Applied sciences
Bit error rate
Channel state information
Channels
Correlation
Criteria
Decoding
Design engineering
Exact sciences and technology
Feedback
Information rates
Mathematical analysis
Matrices
Matrix methods
MIMO
Optimization
Pairwise error probability
Radiocommunications
Resource management
System performance
Telecommunications
Telecommunications and information theory
Transmitters
Transmitters. Receivers
Performance evaluation
MIMO system
Correlation
Eigenvector
MIMO Channel
Correlation matrix
Precoder
Transmitter
System design
Ergodicity
Beam forming
Correlation method
Mean square error
Waterpouring
Simulation
Transmit Eigen-Beamforming
ISSN:1536-1276, 1558-2248
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Shrnutí: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
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2006.256980