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Multi-Timescale Evaluation of Starlink Throughput

Garcia, Johan, 1970- (author)
Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
Sundberg, Simon, 1995- (author)
Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
Caso, Giuseppe (author)
Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
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Brunstrom, Anna, 1967- (author)
Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
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 (creator_code:org_t)
ACM Digital Library, 2023
2023
English.
In: LEO-NET '23. - : ACM Digital Library. - 9798400703324 ; , s. 31-36
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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).

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

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
Computer Science
Datavetenskap

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kon (subject category)

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LEO-NET '23
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