Robust Live Streaming over LEO Satellite Constellations: Measurement, Analysis, and Handover-Aware Adaptation
Hao Fang, Haoyuan Zhao, Jianxin Shi, Miao Zhang, Guanzhen Wu, Yi Ching Chou, Feng Wang, Jiangchuan Liu

TL;DR
This paper introduces SARA, a middleware that improves live streaming over LEO satellite networks by reducing rebuffering and adapting to satellite handovers, addressing a key challenge in satellite-based internet access.
Contribution
We propose Satellite-Aware Rate Adaptation (SARA), a novel middleware that enhances ABR algorithms for live streaming over LEO satellites by managing network variations during handovers.
Findings
SARA reduces rebuffering time by 39.41%.
SARA slightly improves latency by 0.65%.
SARA introduces minimal bitrate loss of 0.13%.
Abstract
Live streaming has experienced significant growth recently. Yet this rise in popularity contrasts with the reality that a substantial segment of the global population still lacks Internet access. The emergence of Low Earth orbit Satellite Networks (LSNs), such as SpaceX's Starlink and Amazon's Project Kuiper, presents a promising solution to fill this gap. Nevertheless, our measurement study reveals that existing live streaming platforms may not be able to deliver a smooth viewing experience on LSNs due to frequent satellite handovers, which lead to frequent video rebuffering events. Current state-of-the-art learning-based Adaptive Bitrate (ABR) algorithms, even when trained on LSNs' network traces, fail to manage the abrupt network variations associated with satellite handovers effectively. To address these challenges, for the first time, we introduce Satellite-Aware Rate Adaptation…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
