MIMO precoding in 802.16e WiMAX

Multiple-input multiple-output (MIMO) transmit precoding/beamforming can significantly improve system spectral efficiency. However, several obstacles prevent preceding 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 preceding method that addresses these issues. In this approach, only 3 or 6 bits feedback is needed to select a preceding 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.

[1]  Bhaskar D. Rao,et al.  An efficient feedback method for MIMO systems with slowly time-varying channels , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).

[2]  Simon Haykin,et al.  Adaptive filter theory (2nd ed.) , 1991 .

[3]  Robert W. Heath,et al.  Limited feedback precoding for spatial multiplexing systems , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[4]  N. J. A. Sloane,et al.  Packing Lines, Planes, etc.: Packings in Grassmannian Spaces , 1996, Exp. Math..

[5]  Thomas L. Marzetta,et al.  Systematic design of unitary space-time constellations , 2000, IEEE Trans. Inf. Theory.

[6]  X.E. Lin,et al.  Compact feedback for MIMO-OFDM systems over frequency selective channels , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[7]  Srinath Hosur,et al.  An enhanced closed-loop MIMO design for OFDM/OFDMA-PHY , 2004 .

[8]  R. Muirhead.  Aspects of Multivariate Statistical Theory , 1982, Wiley Series in Probability and Statistics.

[9]  Ieee Microwave Theory,et al.  IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems Draft Amendment: Management Information Base Extensions , 2007 .

[10]  Bhaskar D. Rao,et al.  Design and Analysis of MIMO Spatial Multiplexing Systems With Quantized Feedback , 2006, IEEE Transactions on Signal Processing.

[11]  R.W. Heath,et al.  Frame theoretic quantization for limited feedback MIMO beamforming systems , 2005, 2005 International Conference on Wireless Networks, Communications and Mobile Computing.

[12]  Yunho Lee.  Channel Prediction with Cascade AR Modeling , 2006, Advanced Int'l Conference on Telecommunications and Int'l Conference on Internet and Web Applications and Services (AICT-ICIW'06).

[13]  E. Onggosanusi,et al.  A feedback-based adaptive multi-input multi-output signaling scheme , 2002, Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002..

[14]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[15]  Kevin L. Baum,et al.  Compact codebooks for transmit beamforming in closed-loop MIMO Date Submitted , 2005 .

[16]  Hassan Yaghoobi,et al.  Scalable OFDMA Physical Layer in IEEE 802.16 WirelessMAN , 2004 .

[17]  H. Vincent Poor,et al.  An Introduction to Signal Detection and Estimation , 1994, Springer Texts in Electrical Engineering.

[18]  H. Vincent Poor,et al.  An introduction to signal detection and estimation (2nd ed.) , 1994 .

[19]  Gene H. Golub,et al.  Matrix computations (3rd ed.) , 1996 .

[20]  Bhaskar D. Rao,et al.  Channel feedback quantization methods for MISO and MIMO systems , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

[21]  Bhaskar D. Rao,et al.  Capacity Analysis of Multiple Antenna Systems with Mismatched Channel Quantization Schemes , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[22]  Hua Zhang,et al.  Closed-Loop MIMO Precoding with Limited Feedback , 2004 .

[23]  Georgios B. Giannakis,et al.  Design and analysis of transmit-beamforming based on limited-rate feedback , 2006, IEEE Transactions on Signal Processing.

[24]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .