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Downlink Coverage Analysis for a Finite 3-D Wireless Network of Unmanned Aerial Vehicles

机译:无人机有限3-D无线网络的下行链路覆盖率分析

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In this paper, we consider a finite network of unmanned aerial vehicles serving a given region. Modeling this network as a uniform binomial point process, we derive the downlink coverage probability of a reference receiver located at an arbitrary position on the ground assuming Nakagami- fading for all wireless links. The reference receiver is assumed to connect to its closest transmitting node as is usually the case in cellular systems. After deriving the distribution of distances from the reference receiver to the serving and interfering nodes, we derive an exact expression for downlink coverage probability in terms of the derivative of Laplace transform of interference power distribution. In the downlink of this system, it is not unusual to encounter scenarios in which the line-of-sight component is significantly stronger than the reflected multipath components. To emulate such scenarios, we also derive the coverage probability in the absence of fading from the results of Nakagami- fading by taking the limit . Using asymptotic expansion of incomplete gamma function, we concretely show that this limit reduces to a redundant condition. Consequently, we derive an accurate coverage probability approximation for this case using dominant interferer-based approach in which the effect of dominant interferer is exactly captured and the residual interference from other interferers is carefully approximated. We then derive the bounds of the approximate coverage probability using Berry-Esseen theorem. Our analyses reveal several useful trends in coverage probability as a function of height of the transmitting nodes and the location of reference receiver on the ground.
机译:在本文中,我们考虑了服务于给定区域的无人机的有限网络。将该网络建模为一个统一的二项式点过程,我们假设在所有无线链路中发生Nakagami衰落的情况下,得出位于地面上任意位置的参考接收机的下行链路覆盖概率。假定参考接收器连接到其最近的发送节点,这在蜂窝系统中通常是这种情况。在推导从参考接收机到服务节点和干扰节点的距离分布后,我们根据干扰功率分布的拉普拉斯变换的导数,得出了下行链路覆盖概率的精确表达式。在该系统的下行链路中,通常会遇到视线成分明显强于反射多径成分的情况。为了模拟这样的情况,我们还通过取极限,从中衰落的结果中推导了没有衰落的情况下的覆盖概率。使用不完全伽马函数的渐近展开,我们具体显示出该极限减小为冗余条件。因此,我们使用基于显性干扰物的方法得出了这种情况下的准确覆盖概率近似值,其中精确捕获了显性干扰物的效果,并仔细估算了其他干扰物的残留干扰量。然后,我们使用Berry-Esseen定理推导近似覆盖概率的界限。我们的分析揭示了覆盖概率随发射节点高度和参考接收器在地面上的位置而变化的几种有用趋势。

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