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Efficient 3-D Placement of an Aerial Base Station in Next Generation Cellular Networks

机译:下一代高效三维空中基站的布局   蜂窝网络

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摘要

Agility and resilience requirements of future cellular networks may not befully satisfied by terrestrial base stations in cases of unexpected ortemporary events. A promising solution is assisting the cellular network vialow-altitude unmanned aerial vehicles equipped with base stations, i.e.,drone-cells. Although drone-cells provide a quick deployment opportunity asaerial base stations, efficient placement becomes one of the key issues. Inaddition to mobility of the drone-cells in the vertical dimension as well asthe horizontal dimension, the differences between the air-to-ground andterrestrial channels cause the placement of the drone-cells to diverge fromplacement of terrestrial base stations. In this paper, we first highlight theproperties of the dronecell placement problem, and formulate it as a 3-Dplacement problem with the objective of maximizing the revenue of the network.After some mathematical manipulations, we formulate an equivalentquadratically-constrained mixed integer non-linear optimization problem andpropose a computationally efficient numerical solution for this problem. Weverify our analytical derivations with numerical simulations and enrich themwith discussions which could serve as guidelines for researchers, mobilenetwork operators, and policy makers.
机译:在意外或临时事件的情况下,地面基站可能无法完全满足未来蜂窝网络的敏捷性和弹性要求。一种有前途的解决方案是通过装备有基站即无人机小区的低空无人飞行器来辅助蜂窝网络。尽管无人机小区为空中基站提供了快速部署的机会,但有效放置已成为关键问题之一。除了在垂直方向和水平方向上的无人驾驶室移动性之外,空对地和地面信道之间的差异还导致无人驾驶室的位置与地面基站的位置不同。在本文中,我们首先突出了无人机细胞放置问题的性质,并将其表述为3-D放置问题,目的是最大化网络收入。经过一些数学操作,我们公式化了等价二次约束混合整数非线性优化问题,并为该问题提出计算上有效的数值解决方案。我们用数值模拟来验证我们的分析推导,并通过讨论加以丰富,这些讨论可以为研究人员,移动网络运营商和政策制定者提供指导。

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