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Visualizing Mobile Coverage from Repetitive Measurements on Defined Trajectories

机译:从已定义的轨迹上的重复测量可视化移动覆盖

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Ensuring pervasive coverage of mobile networks and good quality of service are common goals for both regulators and operators. Currently, however, the evaluation of coverage is mostly limited to maps provided by Mobile Network Operators (MNOs). In this paper, we use the Measuring Mobile Broadband Networks in Europe (MONROE) platform to characterize mobile coverage along transport routes, reliably and in an objective manner. We leverage access to MONROE nodes onboard public transport vehicles: our unique geo-referenced dataset comes from nodes active on board 15 Norwegian inter-city trains that travel 13 different routes. The data from hundreds of train trips between 2017 and 2018 on each of the routes shows the mobile coverage status as travellers experience it. We propose an algorithm to segment the measurement routes to enable efficient grouping of data samples for analysis and visualization. We present our analysis and visualization of coverage along the railway routes. The proposed approach is generic so that other type of performance maps, including latency or throughput maps, can also be generated.
机译:确保移动网络的普遍覆盖范围,良好的服务质量是监管机构和运营商的常见目标。然而,目前,覆盖的评估主要限于移动网络运营商(MNO)提供的映射。在本文中,我们使用欧洲(Monroe)平台中的测量移动宽带网络来沿着运输路线,可靠地和客观方式表征移动覆盖范围。我们利用通往梦露节点的机器上的公共交通工具:我们独特的地理参考数据集来自船上活动的节点,挪威城市间旅行13个不同的路线。 2017年和2018年之间的数百个列车旅行中的数据显示在旅行者体验它时显示移动覆盖状态。我们提出了一种算法来分段测量路由,以便能够有效地分组数据样本进行分析和可视化。我们展示了我们沿铁路路线的覆盖范围的分析和可视化。所提出的方法是通用的,因此也可以生成其他类型的性能映射,包括延迟或吞吐量映射。

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