A Landing Spot Approach for Enhancing the Performance of UAV-Aided Wireless Networks
A Landing Spot Approach for Enhancing the Performance of UAV-Aided Wireless Networks
复制标题
增强无人机辅助无线网络性能的着陆点方法
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Jose Miguel Franceschi
中科院分区：
文献类型：
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作者：
Rajeev Gangula;D. Gesbert;Daniel Fabian Kuelzer;Jose Miguel Franceschi
无人机辅助的无线网络允许在重要的时间和地点超灵活地部署无线资源。尽管这些网络前景看好，但有限的车载电池预算严重阻碍了它们的发展。本文介绍了一种新颖而简单的方法来规避这一问题，该方法基于所谓的着陆点的概念。LSS允许在吞吐量和休息时间之间进行权衡。我们还推导了一个动态规划，它最优地利用任何给定的最小二乘设置进行无人机弹道设计。我们的研究表明，LSS显著延长了飞行无线电接入网络的寿命，而对吞吐量性能的影响不大。在物联网数据收集设置中，对于给定的电池预算，LSS会显著增加收集的数据总有效负载。
UAV-aided wireless networks allow ultra-flexible deployment of wireless resources when and where it matters. Despite their promise, such networks are severely hindered by the limited on-board battery budget. This paper introduces a novel yet simple approach to circumvent this problem, based on the concept of so-called landing spots (LSs). LSs allow to trade-off throughput for rest time. We also derive a dynamic program which optimally exploits any given LS setup for UAV trajectory design. Our study shows that LSs dramatically enhance the lifetime of flying radio access networks while only moderately affecting the throughput performance. In IoT data- harvesting settings, LSs substantially increase the total collected data payload for a given battery budget.