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On the Influence of Charging Stations Spatial Distribution on Aerial Wireless Networks

机译:关于充电站空间分布对空中网络的影响

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摘要

Using drones for cellular coverage enhancement is a recent technology that has shown a great potential in various practical scenarios. However, one of the main challenges that limits the performance of drone-enabled wireless networks is the limited flight time. In particular, due to the limited on-board battery size, the drone needs to frequently interrupt its operation and fly back to a charging station to recharge/replace its battery. In addition, the charging station might be responsible to recharge multiple drones. Given that the charging station has limited capacity, it can only serve a finite number of drones simultaneously. Hence, in order to accurately capture the influence of the battery limitation on the performance, it is required to analyze the dynamics of the time spent by the drones at the charging stations. In this paper, we use tools from queuing theory and stochastic geometry to study the influence of each of the charging stations limited capacity and spatial density on the performance of a drone-enabled wireless network.
机译:使用无人机进行蜂窝覆盖增强,是最近的技术,这些技术在各种实际情况中表现出很大的潜力。然而,限制无人机无线网络性能的主要挑战之一是有限的飞行时间。特别是,由于板载电池尺寸有限,无人机需要经常中断其运行并飞回充电站以充电/更换其电池。此外,充电站可能负责为多个无人机充电。鉴于充电站容量有限,它只能同时为有限数量的无人机服务。因此,为了准确地捕获电池限制对性能的影响,需要分析在充电站的无人机所花费的时间的动态。在本文中,我们使用来自排队理论和随机几何的工具来研究每个充电站的影响有限的容量和空间密度对无人驾驶无线网络的性能的影响。

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