LAUSR

This letter extends the regularized channel inversion (RCI) precoding to include more regularization parameters. Compared with the RCI precoding, more practical user channels are considered and the information obtained from the eigen-decomposition of the channel covariance matrix is exploited. The weighted sum-rate problem with different confidentiality requirements of the users is discussed, and the simple gradient descent method is used to solve the problem and determine the regularization parameters. The numerical results show that the proposed precoder outperform the RCI precoder in terms of the weighted sum-rate.