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Deployment of Drone Base Station in Designated Area of a Campus Network

机译:在校园网指定区域内部署无人机基站

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Objectives: The study aimed at deploying Drone Base Station (DBS) within a selected area of a campus network and performed simulation using required parameters to ascertain performance level. Methods/Statistical Analysis: The researchers employed a circular placement method where the centre of the designed area was of utmost importance to ascertain, resulting to modelling of the drone base station deployment in a horizontal dimension. The total width of the building was also considered which formed a guide in determining the actual centre of the area under consideration, where altitude consideration was paramount. Findings: In the presented simulation figures, the horizontal distance between the drone base station and the user (r) was tested using two different values. The two different values were considered and numerically established in consideration to the separate existing blocks within the campus high congestion area. It showed different result in the path loss in block A, while the coverage area for both values of r appears to be same. However, it was observed that the altitude of coverage when r is 20 is higher than when r is 50 in the first simulation graph while block B and C showed slight difference which could be attributed to the change in their altitudes. This result also showed conformity with existing literature in the optimum deployment of DBS although deployment of DBS resulting to a kind of partitioning a closet has not really been tested within the cited literature. Thus, new frontier of managing effectively a macro cell and micro cell deployment within a closet like a campus network. Application/Improvement: The idea is encouraged in a campus/similar network with high traffic anddid not consider the possibility of interference. Hence, further studies in this direction.
机译:目标:该研究旨在在校园网络的选定区域内部署无人机基站(DBS),并使用所需参数进行仿真以确定性能水平。方法/统计分析:研究人员采用了一种圆形放置方法,其中要确定设计区域的中心至关重要,因此可以对无人机基站在水平方向上的部署进行建模。还考虑了建筑物的总宽度,这为确定所考虑区域的实际中心提供了指导,而高度考虑是至关重要的。发现:在给出的仿真图中,使用两个不同的值测试了无人驾驶飞机基站和用户(r)之间的水平距离。考虑到校园拥挤区域内现有的独立区块,考虑并通过数值确定了两个不同的值。它显示了在块A中路径损耗的不同结果,而两个r值的覆盖范围似乎是相同的。但是,在第一张模拟图中观察到r为20时的覆盖高度高于r为50时的覆盖高度,而块B和C则显示出细微的差异,这可能是由于它们的高度变化所致。尽管尚未在引用的文献中实际测试过将DBS部署成一种壁橱分区的结果,但该结果也显示了与DBS最佳部署中现有文献的一致性。因此,有效管理诸如校园网之类的壁橱内的宏小区和微小区部署的新领域。应用/改进:在高流量的校园/类似网络中鼓励使用此方法,并且不考虑干扰的可能性。因此,朝这个方向进一步研究。

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