无人机辅助蜂窝网络:最佳定位和负载管理

T. Pijnappel, H. V. D. Berg, S. Borst, R. Litjens
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引用次数: 3

摘要

无人机基站的使用提供了一种灵活的机制来保护覆盖范围,并在蜂窝网络承受压力时提供容量缓解。例如,在大量人群或网络中断的特殊事件中,可能会出现这种压力条件。本文以出现热点的灾难场景为研究对象,分析了无人机位置(高度、水平位置)和选择偏差对网络性能的影响。我们确定了这些控制参数的最佳设置作为热点位置的函数,并证明了优化的值可以大大减少呼叫失败的比例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drone-Assisted Cellular Networks: Optimal Positioning and Load Management
The use of drone base stations offers an agile mechanism to safeguard coverage and provide capacity relief when cellular networks are under stress. Such stress conditions can occur for example in case of special events with massive crowds or network outages. In this paper we focus on a disaster scenario with emergence of a hotspot, and analyze the impact of the drone position (altitude, horizontal position) and selection bias on the network performance. We determine the optimal settings of these control parameters as a function of the hotspot location, and demonstrate that the optimized values can drastically reduce the fraction of failed calls.
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