Resource Allocation of Energy-Efficient Multi-User Massive MIMO Systems

In this paper, we develop a low-complexity resource allocation scheme for energy-efficient multi-user massive multiple-input multiple-output (MIMO) systems, which aims at optimizing the number of antennas, user selection and power allocation jointly. The system model considers channel estimation error for zero-forcing processing with a realistic power consumption. The energy efficiency (EE) maximization problem is a mixed integer and non-convex program, which is intractable to solve. The new scheme decomposes the original challenge into two sub-problems, and they can be tackled efficiently. The simulation results show that the utility of the proposed algorithm can achieve close- to-optimal EE performance with much lower complexity.