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 multiple users 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 scheme 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. The numerical results corroborate that the optimized deployment schemes outperform uniform and random deployment in 10%–20% charging efficiency improvement.

中文翻译：

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无线功率发送器的部署，以平衡公平性和收费服务质量

无线能量传输（WET）最近已经成为一种吸引人的解决方案，用于为移动/物联网（IoT）设备供电。作为一种可行的WET技术，谐振束充电（RBC）具有远距离，高功率和安全的“类似WiFi”的移动电源，因此备受证明。为了给给定区域内的多个用户提供高质量的无线充电服务，我们提出了多个RBC发射机的部署问题，以平衡充电公平性和充电服务质量。基于RBC发射机的覆盖模型和接收机的充放电模型，提出了一种基于遗传算法（GA）的方案和基于粒子群优化（PSO）的方案来解决上述问题。此外，我们提出了一种调度方法来评估所提出算法的性能。