Wireless Energy Transfer (WET) has recently emerged as an appealing solution for power supplying mobile / Internet of Things (IoT) devices. As an enabling WET technology, Resonant Beam Charging (RBC) is well-documented for its long-range, high-power, and safe "WiFi-like" mobile power supply. To provide high-quality wireless charging services for multi-user in a given region, we formulate a deployment problem of multiple RBC transmitters for balancing the charging fairness and quality of charging service. Based on the RBC transmitter's coverage model and receiver's charging / discharging model, a Genetic Algorithm (GA)-based and a Particle Swarm Optimization (PSO)-based scheme are put forth to resolve the above issue. Moreover, we present a scheduling method to evaluate the performance of the proposed algorithms. Numerical results corroborate that the optimized deployment schemes outperform uniform and random deployment in 10%-20% charging efficiency improvement.
@article{arxiv.2004.08520,
title = {Wireless Power Transmitter Deployment for Balancing Fairness and Charging Service Quality},
author = {Mingqing Liu and Gang Wang and Georgios B. Giannakis and Mingliang Xiong and Qingwen Liu and Hao Deng},
journal= {arXiv preprint arXiv:2004.08520},
year = {2020}
}