Performance Analysis of Charging Infrastructure Sharing in UAV and EV-involved Networks
Yujie Qin, Mustafa A. Kishk, and Mohamed-Slim Alouini

TL;DR
This paper evaluates a wireless charging infrastructure sharing strategy between UAVs and EVs, demonstrating that sharing can significantly reduce UAV charging wait times with minimal impact on EV service quality, using stochastic geometry and optimization models.
Contribution
It introduces a novel analysis of infrastructure sharing between UAVs and EVs, modeling trade-offs between cost, profit, and service quality with stochastic geometry and optimization.
Findings
Sharing increases EV waiting time by up to 5 minutes.
Sharing reduces UAV waiting time by over 50 minutes.
More charging stations improve performance but increase costs.
Abstract
Electric vehicles (EVs) and unmanned aerial vehicles (UAVs) show great potential in modern transportation and communication networks, respectively. However, with growing demands for such technologies, the limited energy infrastructure becomes the bottleneck for their future growth. It might be of high cost and low energy efficiency for all the operators to each have their own dedicated energy infrastructure, such as charging stations. In this paper, we analyze a wireless charging infrastructure sharing strategy in UAV and EV-involved networks. We consider a scenario where UAVs can charge in EV charging stations and pay for the sharing fee. On the EVs' side, sharing infrastructure can earn extra profit but their service quality, such as waiting time, might slightly reduce. On the UAVs' side, if renting EV charging stations can achieve an acceptable system performance, say high coverage…
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Taxonomy
TopicsUAV Applications and Optimization · Energy Harvesting in Wireless Networks · IoT and Edge/Fog Computing
Methodstravel james
