Beamforming with Hybrid Channel Information in Spatially Correlated MISO Channels

In this paper, we propose a new beamforming scheme that utilizes both long-term and instantaneous channel state information (CSI). First, the dimension of the channel is effectively reduced by considering dominant eigen-dimensions of the channel covariance matrix. Then, the beam weight is generated using the instantaneous CSI of the effectively dimension-reduced channel. The reduction of the channel dimension is determined to maximize the signal-to-noise ratio (SNR) in an average sense considering the amount of feedback signaling burden and spatial correlation of the channel. It is analytically shown and verified by computer simulation that the proposed scheme outperforms conventional beamforming schemes when the same amount of feedback signaling burden is utilized.

[1]  Umberto Spagnolini,et al.  Multislot estimation of fast-varying space-time communication channels , 2003, IEEE Trans. Signal Process..

[2]  Aria Nosratinia,et al.  Antenna selection in MIMO systems , 2004, IEEE Communications Magazine.

[3]  Andrea J. Goldsmith,et al.  Transmitter optimization and optimality of beamforming for multiple antenna systems , 2004, IEEE Transactions on Wireless Communications.

[4]  Nihar Jindal.  MIMO broadcast channels with finite rate feedback , 2005, GLOBECOM.

[5]  Preben E. Mogensen,et al.  A stochastic MIMO radio channel model with experimental validation , 2002, IEEE J. Sel. Areas Commun..

[6]  Audra E. Kosh,et al.  Linear Algebra and its Applications , 1992 .

[7]  Xavier Mestre,et al.  Capacity of MIMO channels: asymptotic evaluation under correlated fading , 2003, IEEE J. Sel. Areas Commun..

[8]  Robert W. Heath,et al.  Equal gain transmission in multiple-input multiple-output wireless systems , 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.

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

[10]  Umberto Spagnolini,et al.  Multislot estimation of frequency-selective fast-varying channels , 2003, IEEE Trans. Commun..

[11]  T.K.Y. Lo,et al.  Maximum ratio transmission , 1999, 1999 IEEE International Conference on Communications (Cat. No. 99CH36311).

[12]  Robert W. Heath,et al.  Grassmannian beamforming for multiple-input multiple-output wireless systems , 2003, IEEE Trans. Inf. Theory.

[13]  Ernst Bonek,et al.  A stochastic MIMO channel model with joint correlation of both link ends , 2006, IEEE Transactions on Wireless Communications.

[14]  Antonia Maria Tulino,et al.  Capacity-achieving input covariance for single-user multi-antenna channels , 2006, IEEE Transactions on Wireless Communications.

[15]  J. Salo,et al.  An interim channel model for beyond-3G systems: extending the 3GPP spatial channel model (SCM) , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[16]  David James Love,et al.  On the performance of random vector quantization limited feedback beamforming in a MISO system , 2007, IEEE Transactions on Wireless Communications.

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