Hybrid Power Supply-Based Power Scheduling and Splitting for Green SWIPT System

In the new intelligent scenario (e.g., smart healthcare), the frequent information exchange between the low-power intelligent device (LPID) and the wireless access point (WAP) for information perceiving and intelligent decision-making would cause short LPID’s battery life and high WAP’s power consumption. Recently, simultaneous wireless information and power transfer (SWIPT) and renewable energy cooperation are potential to achieve lasting and green information transmitting and processing by making full use of the energy from radio frequency (RF) signal and renewable energy. In this paper, a joint renewable energy cooperation, transmission power allocation and power splitting scheme is studied under a hybrid power supplied SWIPT system. Considering WAPs’ battery capacity and LPIDs’ heterogeneous service requirement, a service-driven grid power expenditure minimization problem is formulated. To solve this non-smooth and non-convex problem, an adaptive power scheduling and splitting algorithm (APSSA) with low computational complexity is proposed by analyzing the explicit relationship between power splitting and transmission power and the demand features of renewable energy cooperation. Extensive simulation results show that our APSSA 1) extends all LPIDs’ battery life by achieving an effective trade-off between information decoding and energy harvesting; 2) reduces the grid power expenditure by adopting renewable energy cooperation.