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A Tale of Three Datasets: Towards Characterizing Mobile Broadband Access in the United States
arXiv - CS - Networking and Internet Architecture Pub Date : 2021-02-15 , DOI: arxiv-2102.07288
Tarun ManglaUniversity of Chicago, Esther ShowalterUniversity of California, Santa Barbara, Vivek AdarshUniversity of California, Santa Barbara, Kipp JonesSkyhook, Morgan Vigil-HayesNorthern Arizona University, Elizabeth BeldingUniversity of California, Santa Barbara, Ellen ZeguraGeorgia Institute of Technology

Understanding and improving mobile broadband deployment is critical to bridging the digital divide and targeting future investments. Yet accurately mapping mobile coverage is challenging. In 2019, the Federal Communications Commission (FCC) released a report on the progress of mobile broadband deployment in the United States. This report received a significant amount of criticism with claims that the cellular coverage, mainly available through Long-Term Evolution (LTE), was over-reported in some areas, especially those that are rural and/or tribal [12]. We evaluate the validity of this criticism using a quantitative analysis of both the dataset from which the FCC based its report and a crowdsourced LTE coverage dataset. Our analysis is focused on the state of New Mexico, a region characterized by diverse mix of demographics-geography and poor broadband access. We then performed a controlled measurement campaign in northern New Mexico during May 2019. Our findings reveal significant disagreement between the crowdsourced dataset and the FCC dataset regarding the presence of LTE coverage in rural and tribal census blocks, with the FCC dataset reporting higher coverage than the crowdsourced dataset. Interestingly, both the FCC and the crowdsourced data report higher coverage compared to our on-the-ground measurements. Based on these findings, we discuss our recommendations for improved LTE coverage measurements, whose importance has only increased in the COVID-19 era of performing work and school from home, especially in rural and tribal areas.

中文翻译:

三个数据集的故事:旨在表征美国的移动宽带接入

了解和改善移动宽带部署对于弥合数字鸿沟和针对未来投资至关重要。然而,准确地绘制移动覆盖范围是一项挑战。2019年,联邦通信委员会(FCC)发布了一份有关美国移动宽带部署进度的报告。这份报告受到了很多批评,声称主要通过长期演进(LTE)提供的蜂窝覆盖范围在某些地区,特别是在农村和/或部落地区,被夸大了报道[12]。我们通过对FCC基于其报告的数据集和众包LTE覆盖数据集进行定量分析,评估这种批评的有效性。我们的分析重点是新墨西哥州,该地区的人口地理特征和宽带接入状况不尽相同。然后,我们于2019年5月在新墨西哥州北部进行了受控测量活动。我们的发现表明,关于农村和部落人口普查区中LTE覆盖范围的存在,众包数据集与FCC数据集之间存在重大分歧,FCC数据集报告的覆盖率高于众包数据集。有趣的是,与我们的实地测量相比,FCC和众包数据都报告了更高的覆盖率。基于这些发现,我们讨论了有关改进LTE覆盖范围测量的建议,这些建议的重要性仅在COVID-19时代在家中进行工作和上学时才有所增加,尤其是在农村和部落地区。然后,我们于2019年5月在新墨西哥州北部进行了受控测量活动。我们的发现表明,关于农村和部落人口普查区中LTE覆盖范围的存在,众包数据集与FCC数据集之间存在重大分歧,FCC数据集报告的覆盖率高于众包数据集。有趣的是,与我们的实地测量相比,FCC和众包数据都报告了更高的覆盖率。基于这些发现,我们讨论了有关改进LTE覆盖范围测量的建议,这些建议的重要性仅在COVID-19时代在家中进行工作和上学时才有所增加,尤其是在农村和部落地区。然后,我们于2019年5月在新墨西哥州北部进行了受控测量活动。我们的发现表明,关于农村和部落人口普查区中LTE覆盖范围的存在,众包数据集与FCC数据集之间存在重大分歧,FCC数据集报告的覆盖率高于众包数据集。有趣的是,与我们的实地测量相比,FCC和众包数据都报告了更高的覆盖率。基于这些发现,我们讨论了有关改进LTE覆盖范围测量的建议,这些建议的重要性仅在COVID-19时代在家中进行工作和上学时才有所增加,尤其是在农村和部落地区。我们的发现表明,在农村和部落人口普查区中,LTE覆盖的存在与众包数据集和FCC数据集之间存在显着分歧,FCC数据集报告的覆盖率高于众包数据集。有趣的是,与我们的实地测量相比,FCC和众包数据都报告了更高的覆盖率。基于这些发现,我们讨论了有关改进LTE覆盖范围测量的建议,这些建议的重要性仅在COVID-19时代在家中进行工作和上学时才有所增加,尤其是在农村和部落地区。我们的发现表明,在农村和部落人口普查区中,LTE覆盖的存在与众包数据集和FCC数据集之间存在显着分歧,FCC数据集报告的覆盖率高于众包数据集。有趣的是,与我们的实地测量相比,FCC和众包数据都报告了更高的覆盖率。基于这些发现,我们讨论了有关改进LTE覆盖范围测量的建议,这些建议的重要性仅在COVID-19时代在家中进行工作和上学时才有所增加,尤其是在农村和部落地区。
更新日期:2021-02-16
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