Feedback rate versus capacity loss in limited feedback MIMO systems

In this paper, a multiple-input multiple-output (MIMO) communication system employing a quantized feedback channel is considered. Because of their capacity gain benefits, MIMO communication systems are expected to be a core technology of next generation wireless systems. We study the capacity loss of such systems when the transmitted signal covariance matrix is designed using a low rate feedback channel. For the MIMO channel, we find a universal bound on the instantaneous capacity loss, and we derive a bound on the average capacity loss in the particular case when random codebooks, generated from the uniform distribution on the complex unit sphere, are used to design the transmitted signal covariance matrix. In this case, we find a closed-form expression for the capacity loss as a function of the number of feedback bits used at each channel realization, and it is that the capacity loss decreases exponentially as a function of the number of feedback bits

[1]  Mikael Skoglund,et al.  Quantized feedback information in orthogonal space-time block coding , 2004, IEEE Transactions on Information Theory.

[2]  M. Honig,et al.  Asymptotic performance of MIMO wireless channels with limited feedback , 2003, IEEE Military Communications Conference, 2003. MILCOM 2003..

[3]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[4]  Rick S. Blum MIMO with limited feedback of channel state information , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[5]  Alfred O. Hero,et al.  Environmental issues for MIMO capacity , 2002, IEEE Trans. Signal Process..

[6]  G. Caire,et al.  On the capacity of some channels with channel state information , 1998, Proceedings. 1998 IEEE International Symposium on Information Theory (Cat. No.98CH36252).

[7]  Arnold Reusken,et al.  Approximation of the Determinant of Large Sparse Symmetric Positive Definite Matrices , 2000, SIAM J. Matrix Anal. Appl..

[8]  Upamanyu Madhow,et al.  Space-Time transmit precoding with imperfect feedback , 2001, IEEE Trans. Inf. Theory.

[9]  Erik G. Larsson,et al.  Space-Time Block Coding for Wireless Communications , 2003 .

[10]  Alan Edelman,et al.  The Geometry of Algorithms with Orthogonality Constraints , 1998, SIAM J. Matrix Anal. Appl..

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

[12]  Vincent K. N. Lau,et al.  On the design of MIMO block-fading channels with feedback-link capacity constraint , 2004, IEEE Transactions on Communications.

[13]  T.J. Richardon,et al.  Multiple-antenna signal constellations for fading channels , 2000, 2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060).

[14]  Andrea J. Goldsmith,et al.  Channel capacity and beamforming for multiple transmit and receive antennas with covariance feedback , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

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