论文标题
无人机辅助数据收集的充电技术：激光功率是否可以束缚答案？
Charging Techniques for UAV-assisted Data Collection: Is Laser Power Beaming the Answer?
论文作者
论文摘要
由于Covid-19增加了对全球连通性的需求，研究人员正在针对新技术，这些技术可以改善覆盖范围并连接未连接的人，以便向联合国可持续发展目标取得进展。在这种情况下，无人机被视为6G无线网络的关键功能之一，可以扩展以前的无线网络世代的覆盖范围。也就是说，有限的车载能量似乎是阻碍无人机使用无线覆盖的主要缺点。因此，提出了不同的无线和有线充电技术，例如激光射击，充电站和系绳站。在本文中，我们通过对从地面物联网（IoT）设备的无人机辅助数据收集的情况进行广泛的模拟来分析和比较这些不同的充电技术。我们分析了每种充电技术的优势和劣势，最后表明激光驱动的无人机在某些情况下与其他充电技术竞争强烈竞争，并且表现优于表现。
As Covid-19 has increased the need for connectivity around the world, researchers are targeting new technologies that could improve coverage and connect the unconnected in order to make progress toward the United Nations Sustainable Development Goals. In this context, drones are seen as one of the key features of 6G wireless networks that could extend the coverage of previous wireless network generations. That said, limited on-board energy seems to be the main drawback that hinders the use of drones for wireless coverage. Therefore, different wireless and wired charging techniques, such as laser beaming, charging stations, and tether stations are proposed. In this paper, we analyze and compare these different charging techniques by performing extensive simulations for the scenario of drone-assisted data collection from ground-based Internet of Things (IoT) devices. We analyze the strengths and weaknesses of each charging technique, and finally show that laser-powered drones strongly compete with, and outperform in some scenarios other charging techniques.
