Better Fill Up Your Pipe - Revisiting Starlink's Burst Characterization

We present a comprehensive analysis of Starlink's physical layer performance based on a year-long UDP measurement campaign. Building upon a known methodology, we replicate and improve the approach to capture frame-level data rates with high granularity, identifying discrete modulation steps, and proposing an improved modulation model. Our approach reveals distinct symbol allocation patterns and validates modulation schemes ranging from robust low-order to higher-order Quadrature Amplitude Modulation (QAM). The findings provide a foundation for further research into the influence of environmental and network conditions on link performance. Additionally, we offer an open dataset to support ongoing studies of Low Earth Orbit (LEO) satellite networks.

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Publication Details

Published
2025-08-19
DOI
https://doi.org/10.1145/3748749.3749089
Citations
4
Primary Topic
Power Line Communications and Noise
Type
article
Field-Weighted Citation Impact
2.92
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article

Better Fill Up Your Pipe - Revisiting Starlink's Burst Characterization

Dominic Laniewski, Eric Lanfer, Nils Aschenbruck, Tim Zimmermann et al.
4 citations
Power Line Communications and Noise
2.92
article

Better Fill Up Your Pipe - Revisiting Starlink's Burst Characterization

Dominic Laniewski, Eric Lanfer, Nils Aschenbruck, Tim Zimmermann, Simon Brinkmann
article en
4 citations

Abstract

We present a comprehensive analysis of Starlink's physical layer performance based on a year-long UDP measurement campaign. Building upon a known methodology, we replicate and improve the approach to capture frame-level data rates with high granularity, identifying discrete modulation steps, and proposing an improved modulation model. Our approach reveals distinct symbol allocation patterns and validates modulation schemes ranging from robust low-order to higher-order Quadrature Amplitude Modulation (QAM). The findings provide a foundation for further research into the influence of environmental and network conditions on link performance. Additionally, we offer an open dataset to support ongoing studies of Low Earth Orbit (LEO) satellite networks.

Osnabrück University (DE)
Openalex Percentile: Top 8%
Power Line Communications and Noise
2.92
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