A Tale of Three Datasets: Towards Characterizing Mobile Broadband Access in the United States
Tarun Mangla (1), Esther Showalter (2), Vivek Adarsh (2), Kipp Jones, (3), Morgan Vigil-Hayes (4), Elizabeth Belding (2), Ellen Zegura (5) ((1), University of Chicago, (2) University of California, Santa Barbara (3), Skyhook, (4) Northern Arizona University

TL;DR
This paper compares FCC and crowdsourced LTE coverage data in New Mexico, revealing discrepancies and emphasizing the need for improved measurement methods to better understand rural broadband access.
Contribution
It provides a quantitative evaluation of FCC and crowdsourced datasets against ground measurements, highlighting gaps in current LTE coverage data in rural areas.
Findings
FCC overestimates LTE coverage in rural and tribal areas
Crowdsourced data underreports coverage compared to ground truth
Both datasets report higher coverage than actual measurements
Abstract
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…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Millimeter-Wave Propagation and Modeling · Human Mobility and Location-Based Analysis
