Theory and design of near-optimal MIMO OFDM transmission system for correlated multipath Rayleigh fading channels

We consider channel-coded multi-input multi-output (MIMO) orthogonal frequency-division multiplexing (OFDM) transmission and obtain a condition on its signal for it to attain the maximum diversity and coding gain. As this condition may not be realizable, we propose a suboptimal design that employs an orthogonal transform and a space-frequency interleaver between the channel coder and the multi-antenna OFDM transmitter. We propose a corresponding receiving method based on block turbo equalization. Attention is paid to some detailed design of the transmitter and the receiver to curtail the computational complexity and yet deliver good performance. Simulation results demonstrate that the proposed transmission technique can outperform the conventional coded MIMO OFDM and the MIMO block single-carrier trans- mission with cyclic prefixing.

[1]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[2]  Helmut Bölcskei,et al.  Characterizing the statistical properties of mutual information in MIMO channels: insights into diversity-multiplexing tradeoff , 2002, Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002..

[3]  A. Robert Calderbank,et al.  Space-Time Codes for High Data Rate Wireless Communications : Performance criterion and Code Construction , 1998, IEEE Trans. Inf. Theory.

[4]  Lutz H.-J. Lampe,et al.  Distributed space-time block coding , 2006, IEEE Transactions on Communications.

[5]  Ralf R. Müller,et al.  Iterative equalization with adaptive soft feedback , 2000, IEEE Trans. Commun..

[6]  K. J. Ray Liu,et al.  Diversity analysis for frequency-selective MIMO-OFDM systems with general spatial and temporal correlation model , 2006, IEEE Transactions on Communications.

[7]  Emanuele Viterbo,et al.  Signal Space Diversity: A Power- and Bandwidth-Efficient Diversity Technique for the Rayleigh Fading Channel , 1998, IEEE Trans. Inf. Theory.

[8]  M. Bertero,et al.  Projected Landweber method and preconditioning , 1997 .

[9]  Alain Glavieux,et al.  Turbo equalization: adaptive equalization and channel decoding jointly optimized , 2001, IEEE J. Sel. Areas Commun..

[10]  Georgios B. Giannakis,et al.  Space-time diversity systems based on linear constellation precoding , 2003, IEEE Trans. Wirel. Commun..

[11]  Gregory W. Wornell,et al.  A class of block-iterative equalizers for intersymbol interference channels: fixed channel results , 2001, IEEE Trans. Commun..

[12]  Geoffrey Ye Li,et al.  Space-time energy spreading transform based MIMO technique with iterative signal detection , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[13]  Naresh R. Shanbhag,et al.  Linear turbo equalization analysis via BER transfer and EXIT charts , 2005, IEEE Transactions on Signal Processing.

[14]  B. Kaltenbacher.  Some Newton-type methods for the regularization of nonlinear ill-posed problems , 1997 .

[15]  Joachim Hagenauer,et al.  A Viterbi algorithm with soft-decision outputs and its applications , 1989, IEEE Global Telecommunications Conference, 1989, and Exhibition. 'Communications Technology for the 1990s and Beyond.

[16]  G. Golub,et al.  Iterative solution of linear systems , 1991, Acta Numerica.

[17]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.