Precoder Design for Space-Time Coded MIMO Systems with Imperfect Channel State Information

TitlePrecoder Design for Space-Time Coded MIMO Systems with Imperfect Channel State Information
Publication TypeJournal Article
Year of Publication2008
AuthorsHuang, J. W., E. K. S. Au, and V. K. N. Lau
JournalWireless Communications, IEEE Transactions on
Pagination1977 -1981
Date Publishedjun.
Keywordschannel coding, channel estimation, channel matrix estimation, codeword distance matrix, eigenvalues, eigenvalues and eigenfunctions, fading channels, linear codes, linear precoder design, matrix algebra, maximum likelihood decoder, maximum likelihood decoding, MIMO communication, multiple-input multiple-output system, noise variance, power allocation, precoding, space-time coded MIMO systems, space-time codes, transmitter imperfect channel state information, uncorrelated flat-fading channel, water-pouring policy

We address the problem of designing a linear precoder for space-time coded multiple-input multiple-output (MIMO) system with imperfect knowledge of channel state information at the transmitter (CSIT), subject to a total transmit power constraint. Assuming an uncorrelated flat-fading channel and using a maximum likelihood decoder at the receiver, we analytically reveal that the derived precoder is a function of the noise variance, the eigenvalues of the estimated channel matrix and the eigenvalues of the codeword distance matrix. Furthermore, the power allocation on the eigenvalues of the precoder is shown to follow the water-pouring policy and hence the proposed precoder allocates more power to the stronger channels.


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