A Global Perspective on the Past, Present, and Future of Video Streaming over Starlink

This study presents the first global analysis of on-demand video streaming over Low Earth Orbit (LEO) satellite networks, using data from over one million households across 85 countries. We highlight Starlink's role as a major LEO provider, enhancing connectivity in underserved regions. Our findings reveal that while overall video quality on Starlink matches that of traditional networks, the inherent variability in LEO conditions---such as throughput fluctuations and packet loss---leads to an increase in bitrate switches and rebuffers. To further improve the quality of experience for the LEO community, we manipulate existing congestion control and adaptive bitrate streaming algorithms using simulation and real A/B tests deployed on over one million households. Our results underscore the need for video streaming and congestion control algorithms to adapt to rapidly evolving network landscapes, ensuring high-quality service across diverse and dynamic network types.

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Publication Details

Journal
ACM SIGMETRICS Performance Evaluation Review
Published
2025-06-16
DOI
https://doi.org/10.1145/3744970.3727268
Citations
1
Primary Topic
Image and Video Quality Assessment
Type
article
Field-Weighted Citation Impact
1.28
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article

A Global Perspective on the Past, Present, and Future of Video Streaming over Starlink

Theresa Enghardt, Te-Yuan Huang, Liz Izhikevich, Renata Teixeira
1 citations
ACM SIGMETRICS Performance Evaluation Review
Image and Video Quality Assessment
1.28
article

A Global Perspective on the Past, Present, and Future of Video Streaming over Starlink

Theresa Enghardt, Te-Yuan Huang, Liz Izhikevich, Renata Teixeira
article en
1 citations

Abstract

This study presents the first global analysis of on-demand video streaming over Low Earth Orbit (LEO) satellite networks, using data from over one million households across 85 countries. We highlight Starlink's role as a major LEO provider, enhancing connectivity in underserved regions. Our findings reveal that while overall video quality on Starlink matches that of traditional networks, the inherent variability in LEO conditions---such as throughput fluctuations and packet loss---leads to an increase in bitrate switches and rebuffers. To further improve the quality of experience for the LEO community, we manipulate existing congestion control and adaptive bitrate streaming algorithms using simulation and real A/B tests deployed on over one million households. Our results underscore the need for video streaming and congestion control algorithms to adapt to rapidly evolving network landscapes, ensuring high-quality service across diverse and dynamic network types.

ACM SIGMETRICS Performance Evaluation ReviewVol. 53(1)
University of California, Los Angeles (US), Netflix (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 19%
Image and Video Quality Assessment
1.28
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