Power Allocation in Massive MIMO System with Energy Harvesting Base Station

Abstract. This paper studies a resource allocation method based on power optimization for singlecell multi-user downlink Massive MIMO wireless communication system with energy harvesting function. The proposed method uses a ZF precede for precoding. Under the premise that the noncausal knowledge of the energy harvesting process is available, the base station only uses renewable energy to provide the energy required for the system to operate. The relationship between power and system throughput is derived with consideration of both battery capacity constraints and energy causal constraints. Through the Varangian dual method, resource utilization is optimized. The simulation results show that the proposed algorithm tends to converge with fewer iterations.