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arXiv · 2004.08520

Wireless Power Transmitter Deployment for Balancing Fairness and Charging Service Quality

Mingqing Liu·Gang Wang·Georgios B. Giannakis·Mingliang Xiong·Qingwen Liu·Hao Deng
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Abstract

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.

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Mingqing Liu, Gang Wang, Georgios B. Giannakis, Mingliang Xiong, Qingwen Liu, Hao Deng. 2020-04-18. Wireless Power Transmitter Deployment for Balancing Fairness and Charging Service Quality. https://arxiv.org/abs/2004.08520

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