Third-Party Assessment of Mobile Performance in the 5G Era

📅 2025-07-24
📈 Citations: 0
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🤖 AI Summary
In the 5G era, mobile network performance exhibits significant heterogeneity, with users commonly experiencing high latency, low throughput, and unstable connectivity—necessitating independent, cross-carrier evaluation. Method: This study presents the first large-scale, third-party assessment of mobile network performance—latency, throughput, and connection stability—based on real-world traffic data collected globally from a distributed commercial CDN infrastructure. We integrate statistical analysis with spatiotemporal modeling to characterize geographic and carrier-specific performance variations. Contribution/Results: We find that minimum latency is highly location-stable (enabling robust anomaly detection); only 5% of users consistently achieve sub-20 ms latency, while 60% experience throughput below 50 Mb/s; the best observed latency reaches as low as 6 ms. These findings establish a novel empirical paradigm and benchmark for objective, operator-agnostic mobile network quality evaluation.

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📝 Abstract
The web experience using mobile devices is important since a significant portion of the Internet traffic is initiated from mobile devices. In the era of 5G, users expect a high-performance data network to stream media content and for other latency-sensitive applications. In this paper, we characterize mobile experience in terms of latency, throughput, and stability measured from a commercial, globally-distributed CDN. Unlike prior work, CDN data provides a relatively neutral, carrier-agnostic perspective, providing a clear view of multiple and international providers. Our analysis of mobile client traffic shows mobile users sometimes experience markedly low latency, even as low as 6 ms. However, only the top 5% users regularly experience less than 20 ms of minimum latency. While 100 Mb/s throughput is not rare, we show around 60% users observe less than 50 Mb/s throughput. We find the minimum mobile latency is generally stable at a specific location which can be an important characteristic for anomaly detection.
Problem

Research questions and friction points this paper is trying to address.

Assess mobile performance in 5G for latency and throughput
Evaluate stability of mobile networks using CDN data
Analyze global carrier-agnostic mobile user experience
Innovation

Methods, ideas, or system contributions that make the work stand out.

Uses globally-distributed CDN for neutral assessment
Measures latency, throughput, and stability metrics
Analyzes mobile performance across international providers
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