MIMO transceiver design using geometric mean decomposition

We present a multi-input multi-output (MIMO) transceiver design that combines the geometric mean decomposition (GMD) with either the conventional zero-forcing VBLAST decoder (ZF-VBLAST), or the zero-forcing dirty paper precoder (ZF-DP). Our approach decomposes a MIMO channel into multiple identical subchannels, which obviates the need of bit allocation and simplifies the design of modulation/demodulation and coding/decoding schemes. Moreover, we prove that our scheme is asymptotically optimal for high signal-to-noise ratio (SNR) in terms of both the channel throughput and the bit-error-rate (BER) performance.

[1]  Moody T. Chu,et al.  Inverse Eigenvalue Problems , 1998, SIAM Rev..

[2]  John M. Cioffi,et al.  Joint Tx-Rx beamforming design for multicarrier MIMO channels: a unified framework for convex optimization , 2003, IEEE Trans. Signal Process..

[3]  G. Ginis,et al.  A multi-user precoding scheme achieving crosstalk cancellation with application to DSL systems , 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).

[4]  John M. Cioffi,et al.  Spatio-temporal coding for wireless communication , 1998, IEEE Trans. Commun..

[5]  Reinaldo A. Valenzuela,et al.  Simplified processing for high spectral efficiency wireless communication employing multi-element arrays , 1999, IEEE J. Sel. Areas Commun..

[6]  Xiao Ma,et al.  Design of unitary precoders for ISI channels , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[7]  Jian Li,et al.  The geometric mean decomposition , 2005 .

[8]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..