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

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.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Jun Tong, Peter J. Schreier, Steven R. Weller, Louis L. Scharf
• Keywords: Conjugate Gradient, ICASSP 2011, Mean Squared Error, Optimization Framework, Signal Processing