Downlink-Sum-Power Statistical Minimization for Massive MIMO Enabled SWIPT Systems over Rician Fading Channel

Abstract

Integrating massive MIMO and simultaneous wireless information and power transfer (SWIPT) technology over the Rician fading channel is an effective method to achieve green communication under 5G background. This paper investigates system that the base station (BS) transmits both wireless energy and information simultaneously to the users. The users send pilots by utilizing the harvested energy from the BS to estimate the channel state, and then obtain the downlink channel state through the channel's reciprocity to complete uplink and downlink information transmission. We propose an iterative algorithm to jointly optimize the downlink transmitting power of the BS and the power splitting (PS) ratios for minimizing the sum of transmitting power with uplink and downlink signal-to-interference-plus-noise ratio (SINR) constraints. Simulation results prove that the proposed algorithm outperforms over existing related algorithms in terms of transmitting power.