Unveiling Network Performance in the Wild: An Ad-Driven Analysis of Mobile Download Speeds

Accurate measurement of mobile network performance is crucial for optimizing user experience and ensuring regulatory compliance. Traditional methods like crowdsourcing approaches, though effective, depend heavily on user participation and extensive infrastructure. In this paper, we introduce adNPM, a novel technique for measuring download speed by embedded measurement code in ads displayed across web browsers and mobile apps, without requiring user participation. Through controlled lab tests and real-world deployments in 15 countries, we demonstrate that adNPM achieves accuracy comparable to well-established tools like Speedtest by Ookla and Opensignal while significantly reducing data consumption.

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Published
2025-04-22
DOI
https://doi.org/10.1145/3696410.3714761
Primary Topic
Peer-to-Peer Network Technologies
Type
article
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article

Unveiling Network Performance in the Wild: An Ad-Driven Analysis of Mobile Download Speeds

Patricia Callejo, Reza Rejaie, Ramakrishnan Durairajan, Rubén Cuevas et al.
Peer-to-Peer Network Technologies
article

Unveiling Network Performance in the Wild: An Ad-Driven Analysis of Mobile Download Speeds

Patricia Callejo, Reza Rejaie, Ramakrishnan Durairajan, Rubén Cuevas, Miguel A. Bermejo-Agueda, √Ångel Cuevas, álvaro Mayol
article en

Abstract

Accurate measurement of mobile network performance is crucial for optimizing user experience and ensuring regulatory compliance. Traditional methods like crowdsourcing approaches, though effective, depend heavily on user participation and extensive infrastructure. In this paper, we introduce adNPM, a novel technique for measuring download speed by embedded measurement code in ads displayed across web browsers and mobile apps, without requiring user participation. Through controlled lab tests and real-world deployments in 15 countries, we demonstrate that adNPM achieves accuracy comparable to well-established tools like Speedtest by Ookla and Opensignal while significantly reducing data consumption.

University of Oregon (US), Universidad Carlos III de Madrid (ES)
Openalex Percentile: Top 92%
Peer-to-Peer Network Technologies
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