SpaceRTC: Unleashing the Low-Latency Potential of Mega-Constellations for Wide-Area Real-Time Communications

Zeqi Lai, Weisen Liu, Qian Wu, Hewu Li, Jingxi Xu, Yibo Wang, Yuanjie Li, Jun Liu

Abstract: User-perceived latency is important for the quality of experience (QoE) of wide-area real-time communications (RTC). With the rapid development of low Earth orbit (LEO) mega-constellations, this paper explores a futuristic yet important problem facing the RTC community: can we exploit emerging mega-constellations to facilitate low-latency RTC globally? We carry out our quest in three steps. First, through a measurement study associated with a large number of geo-distributed RTC users, we quantitatively expose that the meandering routes in the client-to-cloud and inter-cloud-site segment of existing cloud-based RTC architecture are critical culprits for the high latency issue suffered by wide-area RTC sessions. Second, we propose SpaceRTC, a satellite-cloud cooperative framework that dynamically selects relay servers upon satellites and cloud sites to build an overlay network which enables diverse close-to-optimal paths. SpaceRTC judiciously allocates RTC flows of different sessions upon the network to facilitate low-latency interactions and adaptively selects bitrates to offer high user-perceived QoE in energy-limited space circumstance. Finally, we implement a testbed based on public constellation information and real-world RTC traces. Extensive experiments demonstrate that SpaceRTC can deliver near-optimal interactive latency, with up to 53.3% average latency reduction and 103.6% average bitrate improvement as compared to other state-of-the-art cloud-based solutions.

External IDs:dblp:journals/tmc/LaiLWLXWLL25