Dynamic Programming-Based Antenna Resource Allocation Algorithm for Wireless Powered Sensor Networks

In a wireless powered sensor network (WPSN), wireless sensors can receive energy from energy transmitters for operation. To improve the performance of the WPSN, the multisource wireless power transfer technique based on the beamforming multi-antenna architecture has emerged as an attractive solution. Thus, in this paper we consider the WPSN system which includes multiple wireless sensors and multiple multi-antenna energy transmitters. We proposed a dynamic programming-based antenna resource allocation algorithm, which takes the diverse distances among various energy transmitting antennas into account, for the radio frequency-based WPSN to maximize the energy transfer efficiency. According to the numerical results, the proposed dynamic programming-based antenna resource allocation algorithm can achieve near-optimal energy transfer efficiency while reducing the computation complexity significantly, compared with the backtracking algorithm which always achieves the optimal allocation but usually not tractable in practical scenarios.