Interpolation based transmit beamforming for MIMO-OFDM with limited feedback

Transmit beamforming and receive combining are simple methods for exploiting spatial diversity in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) system. Optimal beamforming requires channel state information in the form of the beamforming vectors for each OFDM subcarrier. This paper proposes a limited feedback architecture that combines beamforming vector quantization and smart vector interpolation. In the proposed system, the receiver sends a fraction of information about the optimal beamforming vectors to the transmitter and the transmitter computes the beamforming vectors for all subcarriers through interpolation. A new spherical interpolator is developed that exploits parameters for phase rotation to satisfy the phase invariance and unit norm properties of the transmitted beamforming vectors. The beamforming vectors and phase parameters are quantized at the receiver and the quantized information is provided to the transmitter. The proposed quantization system provides only a moderate increase in complexity versus over comparable approaches. Numerical simulations show that the proposed scheme performs better than existing diversity techniques with the same feedback data rate.

[1]  Helmut Bölcskei,et al.  Impact of the propagation environment on the performance of space-frequency coded MIMO-OFDM , 2003, IEEE J. Sel. Areas Commun..

[2]  Georgios B. Giannakis,et al.  Optimal transmitter eigen-beamforming and space-time block coding based on channel correlations , 2003, IEEE Transactions on Information Theory.

[3]  Georgios B. Giannakis,et al.  Adaptive Modulation for multiantenna transmissions with channel mean feedback , 2004, IEEE Transactions on Wireless Communications.

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

[5]  Elza Erkip,et al.  On beamforming with finite rate feedback in multiple-antenna systems , 2003, IEEE Trans. Inf. Theory.

[6]  A. M. Abdullah,et al.  Wireless lan medium access control (mac) and physical layer (phy) specifications , 1997 .

[7]  Gerold Wagner,et al.  On means of distances on the surface of a sphere. II. (Upper bounds) , 1990 .

[8]  Georgios B. Giannakis,et al.  Adaptive MIMO-OFDM based on partial channel state information , 2004, IEEE Transactions on Signal Processing.

[9]  Ken Shoemake,et al.  Animating rotation with quaternion curves , 1985, SIGGRAPH.

[10]  Samuel R. Buss,et al.  Spherical averages and applications to spherical splines and interpolation , 2001, TOGS.

[11]  Tung-Sang Ng,et al.  Performance tradeoffs between maximum ratio transmission and switched-transmit diversity , 2000, 11th IEEE International Symposium on Personal Indoor and Mobile Radio Communications. PIMRC 2000. Proceedings (Cat. No.00TH8525).

[12]  Helmut Bölcskei,et al.  On the capacity of OFDM-based spatial multiplexing systems , 2002, IEEE Trans. Commun..

[13]  Titus K. Y. Lo Maximum ratio transmission , 1999, IEEE Trans. Commun..

[14]  Ranjan K. Mallik,et al.  Analysis of transmit-receive diversity in Rayleigh fading , 2003, IEEE Trans. Commun..

[15]  A. Robert Calderbank,et al.  Space-Time block codes from orthogonal designs , 1999, IEEE Trans. Inf. Theory.

[16]  J. Bach Andersen,et al.  Antenna arrays in mobile communications: gain, diversity, and channel capacity , 2000 .

[17]  R. Heath,et al.  Equal gain transmission in multiple-input multiple-output wireless systems , 2003 .

[18]  R. Heath,et al.  Limited feedback unitary precoding for spatial multiplexing systems , 2005, IEEE Transactions on Information Theory.

[19]  Georgios B. Giannakis,et al.  Optimal transmitter eigen-beamforming and space time block coding based on channel mean , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[20]  A. W. M. van den Enden,et al.  Discrete Time Signal Processing , 1989 .

[21]  Edgar Bolinth,et al.  A blockwise loading algorithm for the adaptive modulation technique in OFDM systems , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[22]  Robert W. Heath,et al.  Grassmannian beamforming for multiple-input multiple-output wireless systems , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[23]  Gregory W. Wornell,et al.  Efficient use of side information in multiple-antenna data transmission over fading channels , 1998, IEEE J. Sel. Areas Commun..

[24]  Mohamed-Slim Alouini,et al.  Largest eigenvalue of complex Wishart matrices and performance analysis of MIMO MRC systems , 2003, IEEE J. Sel. Areas Commun..

[25]  Jon Hamkins,et al.  Asymptotically dense spherical codes - Part h Wrapped spherical codes , 1997, IEEE Trans. Inf. Theory.

[26]  G. S. Watson Statistics on Spheres , 1983 .

[27]  Jon Hamkins,et al.  Asymptotically dense spherical codes - Part II: Laminated spherical codes , 1997, IEEE Trans. Inf. Theory.

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

[29]  A. Paulraj,et al.  A simple scheme for transmit diversity using partial channel feedback , 1998, Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284).

[30]  Liesbet Van der Perre,et al.  Performance analysis of combined transmit-SC/receive-MRC , 2001, IEEE Trans. Commun..

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

[32]  Takaya Yamazato,et al.  An adaptive antenna selection scheme for transmit diversity in OFDM systems , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[33]  Georgios B. Giannakis,et al.  Adaptive modulation for multi-antenna transmissions with channel mean feedback , 2003, IEEE International Conference on Communications, 2003. ICC '03..