Research on UCD Precoding for MIMO System

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This article mainly describes a new technique of multiple-input multiple-output (MIMO) communication systems based on the recent communication demand. This technique, by pre-coding CSI (the channel state information) at the transmitter, is based on UCD (Uniform Channel Decomposition) algorithm for MIMO system. By Uniform Channel decomposition of channel matrix, the algorithm can decompose a MIMO downlink channel into multiple identical sub-channels. The power allocation applied to each sub channel in MIMO system is identical, and the MIMO channel’s capacity isn’t reduce when the SNR (Signal Noise Ratio) is low. The simulations show that the UCD scheme has a better performance than GMD (Geometric Mean Decomposition) scheme even without the use of error-correcting codes, and the Symbol Error Rate (SER) of UCD algorithm is lower than GMD’s at the same SNR. Consequently, MIMO system gets a better interference performance by UCD algorithm.

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620-623

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January 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] M. Schubert and H. Boche. Join dirty-Paper, pre-coding and downlink beamforming. In Proc. IEEE International Symposium on Spread Spectrum Techniques and Application. J, Prague, Czech Republic (2002).

DOI: 10.1109/isssta.2002.1048599

Google Scholar

[2] M. Tomlinson, New automatic equalizer employing modulo arithmetic,Eleetron. Lett. 7, 138-139(1971).

Google Scholar

[3] Y. Jiang, W.W. Hager and J. Li The Geometric Mean Decomposition and Generalized Triangular Decomposition,SIAM Annual Meeting, Portland, Oregon, (2004).

Google Scholar

[4] Jiang Y,Li J,Hager W. Uniform channel decomposition for MIMO communications. IEEE Transactions on Signal Processing. 4283-4294(2005).

DOI: 10.1109/tsp.2005.857052

Google Scholar

[5] Y. Jiang, W,W. Hager, and J. Li. M. The Geometric Mean Decomposition and Generalized Triangular Decomposition, " SIAM Annual Meeting, Portland, Oregon. 12-16(2004).

Google Scholar

[6] Luo Tao, Le guangxin. MIMO communication system M. Beijing: Beijing University of posts and telecommunications press. (2005).

Google Scholar

[7] Jiang, Y, Li, J, Hager, W. W, Transceiver design using generalized triangular decomposition for MIMO communications with QoS constraints. M. Conference Record of the Thirty-Eighth Asilomar Conference. 1, 1154-1157(2004).

DOI: 10.1109/acssc.2004.1399322

Google Scholar