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.