@inproceedings{
fang2024toward,
title={Toward Robust Live Streaming over {LEO} Satellite Constellations: Measurement, Analysis, and Handover-Aware Adaptation},
author={Hao Fang and Haoyuan Zhao and Jianxin Shi and Miao Zhang and Guanzhen Wu and Yi Ching Chou and FENG WANG and Jiangchuan Liu},
booktitle={ACM Multimedia 2024},
year={2024},
url={https://openreview.net/forum?id=eQ45U7ufe4}
}
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 this issue. 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, leading to frequent rebuffering events. Current state-of-the-art learning-based Adaptive Bitrate (ABR) algorithms, even when trained on satellite network traces, fail to manage the abrupt network variations associated with these handovers effectively. To address these challenges, for the first time, we introduce Satellite-Aware Rate Adaptation (SARA), a versatile and lightweight middleware that can be seamlessly integrated with various ABR algorithms to enhance the performance of live streaming over LSNs. SARA intelligently modulates video playback speed and furnishes ABR algorithms with key insights derived from the distinctive network characteristics of LSNs, thereby aiding ABR algorithms in making informed bitrate selections and effectively minimizing rebuffering events that occur during satellite handovers. Our extensive evaluation shows that SARA can effectively reduce the rebuffering time by an average of 39.41\% and slightly improve latency by 0.65\% while only introducing an overall loss in bitrate by 0.13\%.
Toward 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