Joint Symbol-Level Precoding and Antenna Selection Optimization for Multiuser MIMO Systems

Symbol-level precoding (SLP) is an advanced technique designed to mitigate multi-user interference (MUI) and enhance transmission gain. This paper explores joint optimization of SLP and antenna selection to address the challenges of MUI and minimize the total system power consumption. The inherently non-convex optimization problem is approximated and refined to a convex one based on sparse estimation and sparse correction. We further reduce the number of constraints in the problem by introducing new circular constraints to replace the typical rectangular constraints. Subsequently, a coordinate descent (CD)-based iterative optimization algorithm is developed to solve the problem with a low complexity. Numerical experiments validate the effectiveness of the proposed algorithm.