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Wireless Energy Transfer (WET) has recently emerged as an appealing solutionfor power supplying mobile / Internet of Things (IoT) devices. As an enablingWET technology, Resonant Beam Charging (RBC) is well-documented for itslong-range, high-power, and safe "WiFi-like" mobile power supply. To providehigh-quality wireless charging services for multi-user in a given region, weformulate a deployment problem of multiple RBC transmitters for balancing thecharging fairness and quality of charging service. Based on the RBCtransmitter's coverage model and receiver's charging / discharging model, aGenetic Algorithm (GA)-based and a Particle Swarm Optimization (PSO)-basedscheme are put forth to resolve the above issue. Moreover, we present ascheduling method to evaluate the performance of the proposed algorithms.Numerical results corroborate that the optimized deployment schemes outperformuniform and random deployment in 10%-20% charging efficiency improvement.

Wireless Power Transmitter Deployment for Balancing Fairness and Charging Service Quality