  Dealing with nonlinear effects of the radio-frequency(RF) chain is a key
issue in the realization of very large-scale multi-antenna (MIMO) systems.
Achieving the remarkable gains possible with massive MIMO requires that the
signal processing algorithms systematically take into account these effects.
Here, we present a computationally efficient linear precoding method satisfying
the requirements for low peak-to-average power ratio (PAPR) and low-resolution
D/A-converters (DACs). The method is based on a sparse regularization of the
precoding matrix and offers advantages in terms of precoded signal PAPR as well
as processing complexity. Through simulation, we find that the method
substantially improves conventional linear precoders.
