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T3P: Demystifying Low-Earth Orbit Satellite Broadband

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arxiv 2310.11835 v1 pith:QGVUQLQX submitted 2023-10-18 cs.NI

T3P: Demystifying Low-Earth Orbit Satellite Broadband

classification cs.NI
keywords latencysatellitenetworkscapabilitiesdynamicslatencieslow-earthmultiple
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The Internet is going through a massive infrastructural revolution with the advent of low-flying satellite networks, 5/6G, WiFi7, and hollow-core fiber deployments. While these networks could unleash enhanced connectivity and new capabilities, it is critical to understand the performance characteristics to efficiently drive applications over them. Low-Earth orbit (LEO) satellite mega-constellations like SpaceX Starlink aim to offer broad coverage and low latencies at the expense of high orbital dynamics leading to continuous latency changes and frequent satellite hand-offs. This paper aims to quantify Starlink's latency and its variations and components using a real testbed spanning multiple latitudes from the North to the South of Europe. We identify tail latencies as a problem. We develop predictors for latency and throughput and show their utility in improving application performance by up to 25%. We also explore how transport protocols can be optimized for LEO networks and show that this can improve throughput by up to 115% (with only a 5% increase in latency). Also, our measurement testbed with a footprint across multiple locations offers unique trigger-based scheduling capabilities that are necessary to quantify the impact of LEO dynamics.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. SafeSABR: Risk-Calibrated Adaptive Bitrate Streaming over Starlink Networks

    eess.SY 2026-05 unverdicted novelty 5.0

    SafeSABR cuts severe-stall sessions in Starlink video streaming from 22.8% to 7.2% and worst-5% rebuffering from 54.30 s to 22.68 s at 1.8% QoE cost via behavior-cloning pretraining, risk-calibrated RL, and safe-capac...

  2. Risk-Aware Safe Throughput Forecasting for Starlink Networks

    eess.SY 2026-05 unverdicted novelty 5.0

    BG-CFQS provides risk-aware quantile-based forecasting for Starlink throughput that meets overestimation budgets and reduces positive errors compared to other feasible methods.

  3. SafeSABR: Risk-Calibrated Adaptive Bitrate Streaming over Starlink Networks

    eess.SY 2026-05 unverdicted novelty 4.0

    SafeSABR reduces severe-stall sessions on real Starlink traces from 22.8% to 7.2% and worst-case rebuffering from 54.30 s to 22.68 s at a 1.8% QoE cost by combining behavior cloning, risk-calibrated RL, and safe-capac...