Linear precoding for time-varying MIMO channels with low-complexity receivers

Authors

Jun Tong, University of WollongongFollow
Peter J. Schreier, University of Paderborn
Steven R. Weller, Newcastle UniversityFollow
Louis L. Scharf, University of Newcastle, Colorado State University

RIS ID

88246

Publication Details

J. Tong, P. J. Schreier, S. R. Weller & L. L. Scharf, "Linear precoding for time-varying MIMO channels with low-complexity receivers," in Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, 2011, pp. 3092-3095.

Abstract

This paper considers linear precoding for time-varying multipleinput multiple-output (MIMO) channels. We show that linear minimum mean-squared error (LMMSE) equalization based on the conjugate gradient (CG) method can result in significantly reduced complexity compared with conventional approaches. This reduction is achieved by incorporating a condition number constraint into the precoder optimization framework, which leads to clustered eigenvalues of the measurement covariance matrix. The cost is a small increase in MSE compared to the optimal precoder.