Linear precoding for time-varying MIMO channels with low-complexity receivers
RIS ID
88246
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.
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.