Visualizing Mobile Coverage from Repetitive Measurements on Defined Trajectories

C. Jarvis, Cise Midoglu, Andra Lutu, Özgü Alay
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引用次数: 3

Abstract

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.
从定义轨迹的重复测量中可视化移动覆盖
确保移动网络的普遍覆盖和良好的服务质量是监管机构和运营商的共同目标。然而,目前对覆盖范围的评估主要局限于移动网络运营商(MNOs)提供的地图。在本文中,我们使用测量欧洲移动宽带网络(MONROE)平台,以可靠和客观的方式表征沿运输路线的移动覆盖。我们利用公共交通工具上的MONROE节点:我们独特的地理参考数据集来自13条不同路线的15列挪威城际列车上的活跃节点。2017年至2018年期间,每条线路上数百次火车旅行的数据显示了旅行者体验到的移动覆盖状况。我们提出了一种分割测量路径的算法,以便有效地分组数据样本进行分析和可视化。我们对铁路沿线的覆盖范围进行了分析和可视化。所建议的方法是通用的,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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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