Journal of Communications and Networks

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Theory and Design of Near-Optimal MIMO OFDM Transmission System for Correlated Multipath Rayleigh Fading Channels

  • Hung, Kun-Chien (Department of Electronics Engineering, and Center for Telecommunications Research, National Chiao Tung University) ;
  • Lin, David W. (Department of Electronics Engineering, and Center for Telecommunications Research, National Chiao Tung University)
  • Published : 2007.06.30
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Abstract

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 transmission with cyclic prefixing.

Keywords

References

  1. V. Tarokh, N. Seshadri, and A. R. Calderbank, 'Space-time codes for high data rate wireless communication: Performance criterion and code construction,' IEEE Trans. Inf. Theory, vol. 44, no. 2, pp. 744-765, Mar. 1998 https://doi.org/10.1109/18.661517
  2. S. M. Alamouti, 'A simple transmit diversity technique for wireless communications,' IEEE J. Sel. Areas Commun., vol. 16, no. 8, pp. 1451-1458, Oct. 1998 https://doi.org/10.1109/49.730453
  3. Y. Xin, Z. Wang, and G. B. Giannakis, 'Space-time diversity systems based on linear constellation precoding,' IEEE Trans. Wireless Commun., vol. 2, no. 2, pp. 294-309, Mar. 2003 https://doi.org/10.1109/TWC.2003.808970
  4. J. Boutros and E. Viterbo, 'Signal space diversity: A power- and bandwidth-efficient diversity technique for the Rayleigh fading channel,' IEEE Trans. Inf. Theory, vol. 44, no. 4, pp. 1453-1467, July 1998 https://doi.org/10.1109/18.681321
  5. S. Yiu, R. Schober, and L. Lampe, 'Distributed space-time block coding,' IEEE Trans. Commun., vol. 54, no. 7, pp. 1195-1206, July 2006 https://doi.org/10.1109/TCOMM.2006.877947
  6. R. A. Hom and C. R. Johnson, Matrix Analysis. Cambridge, U.K.: Cambridge Univ. Press, 1999
  7. C. Laot, A. Glavieux, and J. Labat, 'Turbo equalization: Adaptive equalization and channel decoding jointly optimized,' IEEE J. Sel. Areas Commun., vol. 19, no. 9, pp. 1744-1752, Sept. 2001 https://doi.org/10.1109/49.947038
  8. A. M. Chan and G. W. Womell, 'A class of block-iterative equalizers for intersymbol interference channels: Fixed channel results,' IEEE Trans. Commun., vol. 49, no. 11, pp. 1966-1976, Nov. 2001 https://doi.org/10.1109/26.966073
  9. T. Hwang and Y. Li, 'Novel iterative equalization based on energy spreading transform,' IEEE Trans. Signal Process., vol. 54, no. 1, pp. 190-203, Jan. 2006 https://doi.org/10.1109/TSP.2005.861098
  10. O. Oyman, R. U. Nabar, H. Bolcskei, and A. J. Paulraj, 'Characterizing tbe statistical properties of mutual information in MIMO channels,' IEEE Trans. Signal Process., vol. 51, no. 11, pp. 2784-2795, Nov. 2003 https://doi.org/10.1109/TSP.2003.818153
  11. A. K. Sadek, W. Su, and K. J. R. Liu, 'Diversity analysis for frequencyselective MIMO-OFDM systems witb general spatial and temporal correlation model,' IEEE Trans. Commun., vol. 54, no. 5, pp. 878-888, May 2006 https://doi.org/10.1109/TCOMM.2006.873986
  12. T. Hwang and Y. Li, 'Space-time energy spreading transform based MIMO technique witb iterative signal detection,' in Proc. IEEE GLOBECOM, vol. 4, Nov.-Dec. 2004, pp. 2470-2474
  13. W. H. Gerstacker, R. R. Muller, and J. B. Huber, 'Iterative equalization with adaptive soft feedback,' IEEE Trans. Commun., vol. 48, no. 9, pp.1462-1466,Sept.2000 https://doi.org/10.1109/26.870012
  14. R. Freund, G. Golub, and N. Nachtigal, 'Iterative solution of linear systems,' Acta Numer., vol. 1, pp. 57-100, 1992 https://doi.org/10.1017/S0962492900002245
  15. M. Piana and M. Berterp, 'Projected Landweber metbod and preconditioning,' Inverse Problems, vol. 13, no. 2, pp. 441-463, 1997 https://doi.org/10.1088/0266-5611/13/2/016
  16. B. Kaltenbacher, 'Some Newton-type methods for tbe regularization of nonlinear ill-posed problems,' Inverse Problems, vol. 13, no. 3, pp. 729-753, 1997 https://doi.org/10.1088/0266-5611/13/3/012
  17. S.-J. Lee, A. C. Singer, and N. R. Shanbhag, 'Linear turbo equalization analysis via BER transfer and EXIT charts;' IEEE Trans. Signal Process., vol. 53, no. 8, pp. 2883-2897, Aug. 2005 https://doi.org/10.1109/TSP.2005.850375
  18. J. Hagenauer and P. Hoeher, 'A Viterbi algoritbm witb soft-decision outputs and its applications,' in Proc. IEEE GLOBECOM, vol. 3, Nov. 1989, pp. 1680-1686