Abstract
The large-scale MIMO (multiple-input multiple-output) system with SWIPT(simultaneous wireless information and power transfer) is considered in this paper, which is designed with multi-antenna transmitter and receiver of TS(time switching) architecture. Considering that the transmitter is equipped with a huge number of antennas and the receiver can achieve both information decoding (ID) and energy harvesting (EH), a energy-efficient maximum scheme is proposed. The optimization derivation process of transmission power and TS ratio is described in detail for the purpose of maximizing the energy efficiency of information transmission. Since the foumulated problem is a non-convex problem, we utilize the fractional programming to transform it into subtraction form and reformulate it as a tractable convex problem by an appropriate variable transformation. Moreover, we obtain the optimal power allocation and TS ratio by Lagrange dual method. It is revealed that the proposed iterative resource allocation algorithm performs well and achieves the maximum energy efficiency of the system.
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