Robust optimization for the correlated MIMO downlink with imperfect channel state information

To reduce the performance deterioration induced by imperfect channel state information (CSI) in correlated multiple input multiple output(MIMO) downlink, the linear transmit/receive filters should be optimized to be robust to imperfect CSI. A sub-optimization algorithm based on minimizing sum MSE conditional on available imperfect CSI estimates subject to a per-user power constraint is proposed. The algorithm adapts the existing MMSE algorithm from uncorrelated single-user MIMO system with perfect CSI to correlated MIMO downlink with imperfect CSI. Simulation shows that the suboptimal algorithm can effectively mitigate the performance loss induced by imperfect CSI and has a good convergence performance. In addition, the effect of spatial correlation on the performance of the proposed algorithm is also simulated.

[1]  Andrea J. Goldsmith,et al.  Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels , 2003, IEEE Trans. Inf. Theory.

[2]  A. Abdel-Samad,et al.  Robust transmit beamforming based on imperfect channel feedback , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[3]  A. Goldsmith,et al.  On optimality of beamforming for multiple antenna systems with imperfect feedback , 2001, Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252).

[4]  Raviraj S. Adve,et al.  Linear Processing for the Downlink in Multiuser MIMO Systems with Multiple Data Streams , 2006, 2006 IEEE International Conference on Communications.

[5]  Leandros Tassiulas,et al.  Joint transmitter receiver diversity for efficient space division multiaccess , 2002, IEEE Trans. Wirel. Commun..

[6]  Ross D. Murch,et al.  A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach , 2004, IEEE Transactions on Wireless Communications.

[7]  Nelson Costa,et al.  Multiple-input-multiple-output measurements and modeling in Manhattan , 2003, IEEE J. Sel. Areas Commun..

[8]  Raviraj S. Adve,et al.  Joint multiuser transmit-receive optimization using linear processing , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[9]  John M. Cioffi,et al.  Joint Tx-Rx beamforming design for multicarrier MIMO channels: a unified framework for convex optimization , 2003, IEEE Trans. Signal Process..

[10]  Shlomo Shamai,et al.  On the achievable throughput of a multiantenna Gaussian broadcast channel , 2003, IEEE Transactions on Information Theory.

[11]  Gerhard Fettweis,et al.  A multiple input-multiple output channel model for simulation of Tx- and Rx-diversity wireless systems , 2000, Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152).