Journal of Communications and Networks

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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MIMO Precoding in 802.16e WiMAX

  • Published : 2007.06.30
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Abstract

Multiple-input multiple-output (MIMO) transmit pre-coding/beamforming can significantly improve system spectral efficiency. However, several obstacles prevent precoding from wide deployment in early wireless networks: The significant feedback overhead, performance degradation due to feedback delay, and the large storage requirement at the mobile devices. In this paper, we propose a precoding method that addresses these issues. In this approach, only 3 or 6 bits feedback is needed to select a precoding matrix from a codebook. There are fifteen codebooks, each corresponding to a unique combination of antenna configuration (up to 4 antennas) and codebook size. Small codebooks are prestored and large codebooks are efficiently computed from the prestored codebook, modified Hochwald method and Householder reflection. Finally, the feedback delay is compensated by channel prediction. The scheme is validated by simulations and we have observed significant gains comparing to space-time coding and antenna selection. This solution was adopted as a part of the IEEE 802.16e specification in 2005.

Keywords

References

  1. IEEE 802.16e-2005 and IEEE Std 802.16-2004/Cor 1-2005, IEEE standard for local and metropolitan area networks, Part 16: Air interface for fixed and mobile broadband wireless access systems, Feb. 28, 2006
  2. IEEE 802.16-2004, IEEE Standard for local and metropolitan area networks, Part 16: Air interface for fixed broadband wireless access systems, Oct. 1,2004
  3. I. E. Telatar, 'Capacity of multi-antenna Gaussian channels,' AT&T Bell Labs Tech. Memo., 1995
  4. B. M. Hochwald, T. L. Marzetta, T. J. Richardson, W. Sweldens, and R. Urabanke, 'Systematic design of unitary space-time constellations,' IEEE Trans. Inf Theory, vol. 46, pp. 1962-1973, Sept. 2000 https://doi.org/10.1109/18.868472
  5. E. N. Onggosanusi and A. G. Dabak, 'A feedback-based adaptive multiinput multi-output signaling scheme,' in Proc IEEE Asilomar Conf., vol. 2, Nov. 2002, pp. 1694-1698
  6. D. J. Love and R. W. Heath Jr., 'Limited feedback precoding for spatial multiplexing systems,' in Proc. IEEE GLOBECOM, vol. 4, Dec. 2003, pp. 1857-1861
  7. R. W. Heath, J. Chiang, B. Mondal, and R. Samanta, 'lin partial proposal: Quantized precoding with feedback,' IEEE P802.1 ln-04/962, Aug. 2004
  8. B. Mondal, B. R. Samanta, and R. W. Heath Jr., 'Frame theoretic quantization for limited feedback MIMO beamforming systems,' in Proc. IEEE ICWCMC, vol. 2, June 2005, pp. 1065-1070
  9. J. C. Roh and B. D. Rao, 'An efficient feedback method for MIMO systems with slowly time-varing channels,' in Proc. IEEE WCNC, vol. 2, Mar. 2004, pp. 760-764
  10. J. C. Roh and B. D. Rao, 'Channel feedback quantization methods for MISO and MIMO systems', in Proc. IEEE PIMRC, vol. 2, Sept. 2004, pp. 805-809
  11. Q. Li and X. E. Lin, 'Compact feedback for MIMO-OFDM systems over frequency selective channels', in Proc. IEEE VTC 2005-spring, vol. I, May-June. 2005, pp. 187-191
  12. Q. Li, X. E. Lin, A. Poon, M. Ho, N. Himayat, and S. Talwar, 'Improved feedback for MIMO precoding,' IEEE C802.16e-04/527r4, Nov. 2004
  13. J. Zhang, H. Zhang, N. V. Waes, A. Reid, and V. Stolpman, 'Closed-loop MIMO precoding with limited feedback,' IEEE C802.16e-041262rl, Aug. 2004
  14. M. Ikram, E. N. Onggosanusi, V. Raghavan, et al., 'An enhanced closedloop MIMO design for OFDMlOFDMA-PHY,' IEEE C802.16e-041267, Aug. 2004
  15. Q. Li, X. E. Lin, A. Poon, A. Davydov, U. Perlmutter, M. Ho, N. Himayat, R. Schwartz, and J. Puthenkulam, 'Compact codebooks for transmit beamforming in closed-loop MIMO,' IEEE C802.16e-04/50r6, Jan. 2005
  16. P. Xia and G. B. Giannakis, 'Design and analysis of transmit-beam forming based on limited-rate feedback,' IEEE Trans. Signal Process., vol. 54, no. 5, pp. 1853-1863, May 2006 https://doi.org/10.1109/TSP.2006.871967
  17. J. Zheng and B. D. Rao, 'Capacity analysis of multiple antenna systems with mismatched channel quantization schemes,' in Prco. ICASSP, vol. 4, May 2006, pp. 85-88
  18. J. C. Roh and B. D. Rao, 'Design and analysis of MIMO spatial multiplexing systems with quantized feedback,' IEEE Trans. Signal Process., vol. 54, no. 8, pp. 2874-2886, Aug. 2006 https://doi.org/10.1109/TSP.2006.875392
  19. Y. Hassan, 'Scalable OFDMA physical layer in IEEE 802.16 WirelessMAN,' Intel Technol. J., vol. 8, pp. 201-212, Aug. 2004
  20. Recommendation ITU-R M.1225, 'Guidelines for evaluation of radio transmission technologies for IMT-2000,' 1997
  21. Y. Lee, 'Channel prediction with cascade AR modeling,' in Proc. IEEE AICT-ICIW, Feb. 2006, p. 40
  22. H. V. Poor, An Introduction to Signal Detection and Estimation, 2nd ed. Springer, 1994
  23. S. Haykin, Adaptive Filter Theory, 3rd ed. Prentice-Hall Inc., 1996
  24. G. Golub and C. Van Loan, Matrix Computations, 3rd ed. Johns Hopkins University Press, 1996
  25. R. J. Muirhead, Aspects of Multivariate Statistical Theory. John Wiley, Inc., 1982
  26. J. H. Conway, R..H. Hardin, and N. J. A. Sloane, 'Packing line, planes, etc.: Packings in Grassmannian spaces,' Experimental Mathematics, vol. 5,pp. 139-159, 1996 https://doi.org/10.1080/10586458.1996.10504585
  27. Intel Corporation, 'Scaleable Precoding and Implementation Complexities,' 3GPP TSG RAN WGi meeting 45, R1-061126, May 2006