通过测试视线和菲涅耳区间隙来规划无线回程链路

IF 1.2 Q4 REMOTE SENSING
Philip E. Brown, Krystian Czapiga, Arun Jotshi, Y. Kanza, Velin Kounev, Poornima Suresh
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引用次数: 3

摘要

微波回程链路通常用作电信塔之间的无线连接,在这些地方部署光纤是不可能的或过于昂贵。相对较高的微波频率提高了它们高速传输信息的能力,但也使它们容易受到空间障碍和干扰。因此,在部署无线链路时,有两个相互冲突的考虑因素。首先,从每个塔的可用插槽中选择的天线高度应尽可能低。其次,天线之间应该有一条视线(LoS),并且由第一菲涅尔区定义的LoS周围的缓冲区应该没有障碍物。为了计算天线高度,无线链路的规划系统必须维护高程模型,有效地发现塔之间的障碍物,并在部署区域的3D模型上执行菲涅耳区域间隙测试。在本文中,我们提出了一个计算天线高度的系统和算法,通过测试LoS和菲涅耳区的间隙。该系统处理以下要求:(1)需要覆盖大面积,例如整个美国,(2)塔之间的大距离,例如100公里,以及(3)在几分钟内计算数千对。我们介绍了三种有效计算天线高度的新算法,展示了如何有效地建模和管理规划所需的大规模地理空间数据,并展示了在真实世界环境中的测试结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Planning Wireless Backhaul Links by Testing Line of Sight and Fresnel Zone Clearance
Microwave backhaul links are often used as wireless connections between telecommunication towers, in places where deploying optical fibers is impossible or too expensive. The relatively high frequency of microwaves increases their ability to transfer information at a high rate, but it also makes them susceptible to spatial obstructions and interference. Hence, when deploying wireless links, there are two conflicting considerations. First, the antennas height, selected from the available slots on each tower, should be as low as possible. Second, there should be a line of sight (LoS) between the antennas, and a buffer around the LoS defined by the first Fresnel zone should be clear of obstacles. To compute antenna heights, a planning system for wireless links has to maintain an elevation model, efficiently discover obstacles between towers, and execute Fresnel-zone clearance tests over a 3D model of the deployment area. In this article we present a system and algorithms for computing the height of antennas, by testing LoS and clearance of Fresnel zones. The system handles the following requirements: (1) the need to cover large areas, e.g., all of the USA, (2) big distance between towers, e.g., 100 kilometers, and (3) computing batches of thousands of pairs within a few minutes. We introduce three novel algorithms for efficient computation of antenna heights, we show how to effectively model and manage the large-scale geospatial data needed for the planning, and we present the results of tests over real-world settings.
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来源期刊
CiteScore
4.40
自引率
5.30%
发文量
43
期刊介绍: ACM Transactions on Spatial Algorithms and Systems (TSAS) is a scholarly journal that publishes the highest quality papers on all aspects of spatial algorithms and systems and closely related disciplines. It has a multi-disciplinary perspective in that it spans a large number of areas where spatial data is manipulated or visualized (regardless of how it is specified - i.e., geometrically or textually) such as geography, geographic information systems (GIS), geospatial and spatiotemporal databases, spatial and metric indexing, location-based services, web-based spatial applications, geographic information retrieval (GIR), spatial reasoning and mining, security and privacy, as well as the related visual computing areas of computer graphics, computer vision, geometric modeling, and visualization where the spatial, geospatial, and spatiotemporal data is central.
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