Non-Linear Precoding Performance in Spatio-Temporally Correlated Mu-Mimo Channels

Abstract

Among various precoding techniques proposed in the standardization phase for 3rd Generation Partnership Project (3GPP) 5G New Radio (NR), Non-Linear Precoding (NLP) schemes gained quite an interest. The purpose of this paper is to analyze the performance of existing non-linear precoding schemes in correlated Multi-User Multiple-Input- Multiple-Output (MU-MIMO) channels, and to validate their advantages compared to linear techniques. Although NLP schemes show better performance, their complexity is high. Alternatively, hybrid schemes can be used to reduce complexity, however their performance is conditioned by an accurate channel estimation.