论文标题
无线电源发射器部署，以平衡公平和充电服务质量
Wireless Power Transmitter Deployment for Balancing Fairness and Charging Service Quality
论文作者
论文摘要
无线能源传输（WIT）最近成为用于电力 /物联网（IoT）设备的吸引力解决方案。作为一种启用湿技术，共振光束充电（RBC）的远程，高功率和安全的“ WiFi式”移动电源有充分记录。为了在给定区域为多用户提供高质量的无线充电服务，我们制定了多个RBC发射器的部署问题，以平衡充电服务的充电性和质量。基于RBC发射器的覆盖范围模型和接收器的充电 /放电模型，提出了基于遗传算法（GA）的基于遗传算法（GA）的基于粒子群优化（PSO）的方案，以解决上述问题。此外，我们提出了一种调度方法，以评估所提出的算法的性能。数值结果证实了优化的部署方案在10％-20％的充电效率提高中优于统一和随机部署。
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.
