Mind the Misleading Effects of LEO Mobility on End-to-End Congestion Control

End-to-end congestion control algorithms (CCAs) are expected to perform well in any Internet path, including those paths with low-earth orbit (LEO) satellite links. In this paper, we conduct a performance study on various CCAs in an operational LEO satellite network. We find that existing CCAs struggle to deal with the drastic network variations caused by the mobility of LEO satellites, resulting in poor link utilization or high latency. Further, through an in-depth analysis, we identify the fundamental challenge is that existing end-to-end CCAs detect network congestion based on performance changes observed on the sender, but the unique LEO mobility can involve massive non-congestion performance changes which seriously mislead CCA behaviors. Finally, we explore and discuss possible solutions to mitigate the misleading effects of LEO mobility.

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Publication Details

Published
2024-11-11
DOI
https://doi.org/10.1145/3696348.3696867
Citations
9
Primary Topic
Network Traffic and Congestion Control
Type
article
Field-Weighted Citation Impact
3.14
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article

Mind the Misleading Effects of LEO Mobility on End-to-End Congestion Control

Hewu Li, Qian Wu, Zeqi Lai, Weisen Liu et al.
9 citations
Network Traffic and Congestion Control
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article

Mind the Misleading Effects of LEO Mobility on End-to-End Congestion Control

Hewu Li, Qian Wu, Zeqi Lai, Weisen Liu, Y. N. Liu, Jun Liu, Yuanjie Li, Xin Xie, Zonglun Li
article en
9 citations

Abstract

End-to-end congestion control algorithms (CCAs) are expected to perform well in any Internet path, including those paths with low-earth orbit (LEO) satellite links. In this paper, we conduct a performance study on various CCAs in an operational LEO satellite network. We find that existing CCAs struggle to deal with the drastic network variations caused by the mobility of LEO satellites, resulting in poor link utilization or high latency. Further, through an in-depth analysis, we identify the fundamental challenge is that existing end-to-end CCAs detect network congestion based on performance changes observed on the sender, but the unique LEO mobility can involve massive non-congestion performance changes which seriously mislead CCA behaviors. Finally, we explore and discuss possible solutions to mitigate the misleading effects of LEO mobility.

Tsinghua University (CN)
Climate action
Openalex Percentile: Top 8%
Network Traffic and Congestion Control
3.14
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