Limited feedback for multi-carrier beamforming: A rate-distortion approach

The achievable rate of a wideband multi-input single-output channel with multi-carrier transmission is studied with limited feedback of channel state information (CSI). The set of sub-channel vectors are assumed to be jointly quantized and relayed back to the transmitter. Given a fixed feedback rate, the performance of an optimal joint quantization scheme can be characterized by the rate-distortion bound. The distortion metric is the average loss in capacity (forward rate) relative to the capacity with perfect channel state information at the transmitter and receiver. The corresponding rate distortion function gives the forward capacity as a function of feedback rate, and is determined explicitly by casting the minimization of mutual information in the rate-distortion problem as an optimal control problem. Numerical results show that when the feedback rate is relatively small, the rate-distortion bound significantly outperforms separate quantization of the state information of each sub-channel.

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

[2]  Michael L. Honig,et al.  Asymptotic capacity of beamforming with limited feedback , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[3]  Robert W. Heath,et al.  An overview of limited feedback in wireless communication systems , 2008, IEEE Journal on Selected Areas in Communications.

[4]  M.J. Wainwright,et al.  Sparse Graph Codes for Side Information and Binning , 2007, IEEE Signal Processing Magazine.

[5]  Giuseppe Caire Universal data compression with LDPC codes , 2003 .

[6]  Michael L. Honig,et al.  Capacity of a Multiple-Antenna Fading Channel With a Quantized Precoding Matrix , 2007, IEEE Transactions on Information Theory.

[7]  Dimitri P. Bertsekas,et al.  Dynamic Programming and Optimal Control, Two Volume Set , 1995 .

[8]  B. Heimann,et al.  Fleming, W. H./Rishel, R. W., Deterministic and Stochastic Optimal Control. New York‐Heidelberg‐Berlin. Springer‐Verlag. 1975. XIII, 222 S, DM 60,60 , 1979 .

[9]  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.

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

[11]  Brendan J. Frey,et al.  Factor graphs and the sum-product algorithm , 2001, IEEE Trans. Inf. Theory.

[12]  Bhaskar D. Rao,et al.  Transmit beamforming in multiple-antenna systems with finite rate feedback: a VQ-based approach , 2006, IEEE Transactions on Information Theory.

[13]  G.B. Giannakis,et al.  Design and analysis of transmit-beamforming based on limited-rate feedback , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[14]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[15]  Michael L. Honig,et al.  Limited-Rate Channel State Feedback for Multicarrier Block Fading Channels , 2010, IEEE Transactions on Information Theory.

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

[17]  Robert W. Heath,et al.  Interpolation based transmit beamforming for MIMO-OFDM with limited feedback , 2004, IEEE Transactions on Signal Processing.

[18]  X. Jin Factor graphs and the Sum-Product Algorithm , 2002 .

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

[20]  Vincent K. N. Lau,et al.  Capacity of memoryless channels and block-fading channels with designable cardinality-constrained channel state feedback , 2004, IEEE Transactions on Information Theory.

[21]  David James Love,et al.  Feedback rate-capacity loss tradeoff for limited feedback MIMO systems , 2006, IEEE Transactions on Information Theory.

[22]  O. Mangasarian Sufficient Conditions for the Optimal Control of Nonlinear Systems , 1966 .

[23]  Robert W. Heath,et al.  What is the value of limited feedback for MIMO channels? , 2004, IEEE Communications Magazine.

[24]  Dimitri P. Bertsekas,et al.  Dynamic Programming and Optimal Control, Vol. II , 1976 .

[25]  Martin J. Wainwright,et al.  Low density codes achieve the rate-distortion bound , 2006, Data Compression Conference (DCC'06).