Low-Complexity MIMO Precoder Design With \hbox^ Channel Decomposition

We present a new multiple-input-multiple-output (MIMO) precoding scheme using LDL H channel decomposition. The proposed method is verified to have lower complexity and better bit-error-rate (BER) performance than that of conventional singular-value decomposition (SVD). SVD is commonly used to decomp...

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Vydáno v:IEEE transactions on vehicular technology Ročník 60; číslo 5; s. 2368 - 2372
Hlavní autoři: Chou, Che-Chen, Wu, Jen-Ming
Médium: Journal Article
Jazyk:angličtina
Vydáno: IEEE 01.06.2011
Témata:
Bit error rate
Channel decomposition
Complexity theory
Covariance matrix
Decoding
hbox{LDL}^{H} decomposition
Matrix decomposition
MIMO
multiple input-multiple output (MIMO)
precoding
Resource management
singular-value decomposition (SVD)
subchannel gain uniformity
ISSN:0018-9545
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Shrnutí:We present a new multiple-input-multiple-output (MIMO) precoding scheme using LDL H channel decomposition. The proposed method is verified to have lower complexity and better bit-error-rate (BER) performance than that of conventional singular-value decomposition (SVD). SVD is commonly used to decompose the MIMO channel into parallel eigenmodes. However, the large variation of the singular values often leads to ill-conditioned channel and degraded error performance. Recently, two SVD-based decomposition schemes that aim to improve such subchannel gain uniformity have been developed. They are geometric mean decomposition (GMD) and uniform channel decomposition (UCD). Albeit the error performance of GMD and UCD is optimized, both of them require relatively higher complexity than that of SVD with power allocation. In this paper, we present a scheme with moderate subchannel gain uniformity while exhibiting the lowest complexity compared with that of SVD, GMD, and UCD. Simulations also show that LDL H can outperform all aforementioned schemes as the channel-estimation errors in the receiver become severe.
ISSN:0018-9545
DOI:10.1109/TVT.2011.2151889