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Multi-Timescale Evaluation of Starlink Throughput
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0003-3461-7079
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-3570-9525
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0003-0611-5637
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0001-7311-9334
2023 (English)In: LEO-NET '23: Proceedings of the 1st ACM Workshop on LEO Networking and Communication, ACM Digital Library, 2023, p. 31-36Conference paper, Published paper (Refereed)
Abstract [en]

Although Starlink has been rolled-out for several years, there is still a lack of knowledge regarding system details and performance characteristics. To address this, we perform a network layer measurement campaign utilizing precise times-Tamping to analyze throughput variations at multiple time scales, and infer system timing details. On larger timescales we quantify the diurnal variations where the throughput varies with the time of day. On the medium timescales we establish the likely frequency allocation and beam switching period to be 15 seconds. The associated connectivity disturbances contribute to severe link underutilization for single long-lived TCP flows, which typically reach only 46% of the estimated link capacity. On the sub-millisecond timescale our network layer measurements corroborate recent physical layer investigations of the Starlink frame timing, which is confirmed to be 1.33 ms. © 2023 Owner/Author(s).

Place, publisher, year, edition, pages
ACM Digital Library, 2023. p. 31-36
Keywords [en]
diurnal variation, frame timing, LEO, Frequency allocation, Timing circuits, Beam switching, Measurement campaign, Multiple time scale, Performance characteristics, Time of day, Time-scales, Timing details, Network layers
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-99013DOI: 10.1145/3614204.3616108Scopus ID: 2-s2.0-85174990626ISBN: 9798400703324 (print)OAI: oai:DiVA.org:kau-99013DiVA, id: diva2:1846752
Conference
1st ACM Workshop on LEO Networking and Communication
Available from: 2024-03-25 Created: 2024-03-25 Last updated: 2025-10-16Bibliographically approved

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fulltext(1280 kB)639 downloads
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Garcia, JohanSundberg, SimonCaso, GiuseppeBrunstrom, Anna

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