Robust interference channel transmission using sparsity enhanced mismatch model

Herein a maximin-SNR robust precoder design is proposed for MIMO cognitive radio transmission when inaccurate channel estimate is present. The proposed scheme exploits the structural property of the statistical transmit covariance matrix to increase the degree of freedom in the mismatch model related to the channel matrix. Simulation results show that the proposed scheme outperforms previously proposed methods in terms of SER under certain conditions. The performance gain is obtained at the cost of increased interference level toward the primary user, but without violating the average interference power constraint. Analytical and simulation results are given to support the efficacy of the proposed scheme. Furthermore, analysis is carried out to differentiate the performance given by the lower bound method and S-Procedure method.

[1]  Yonina C. Eldar,et al.  Strong Duality in Nonconvex Quadratic Optimization with Two Quadratic Constraints , 2006, SIAM J. Optim..

[2]  Nikos D. Sidiropoulos,et al.  Transmit beamforming for physical-layer multicasting , 2006, IEEE Transactions on Signal Processing.

[3]  Ying-Chang Liang,et al.  Robust precoding for orthogonal space-time block coded MIMO cognitive radio networks , 2009, 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications.

[4]  Daniel Pérez Palomar,et al.  A robust maximin approach for MIMO communications with imperfect channel state information based on convex optimization , 2006, IEEE Transactions on Signal Processing.

[5]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[6]  Vinko Erceg IEEE P802.11 Wireless LANs TGn Channel Models , 2004 .

[7]  Lutz H.-J. Lampe,et al.  Single and Multiple Carrier Designs for Cognitive Radio Systems , 2010, 2010 IEEE International Conference on Communications.

[8]  Björn E. Ottersten,et al.  Robust Cognitive Beamforming With Bounded Channel Uncertainties , 2009, IEEE Transactions on Signal Processing.