  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.
