End-to-End Performance of Video Streaming With MPEG-DASH Over Satellite 5G IAB Networks
Muhammad Adeel Zahid, Ekram Hossain, and Peng Hu

TL;DR
This paper evaluates MPEG-DASH video streaming performance over satellite 5G IAB networks, analyzing how different transport protocols and congestion control algorithms impact user QoE in a simulated environment.
Contribution
It provides a comprehensive simulation framework for assessing adaptive video streaming over satellite-terrestrial networks with various transport protocols and congestion control algorithms.
Findings
QUIC-BBR offers the best balance of throughput, latency, and playback continuity.
No single configuration is optimal for all performance metrics.
Tradeoffs exist among throughput, latency, fairness, and user experience.
Abstract
We present an end-to-end performance evaluation of MPEG-DASH video streaming over a Low-Earth Orbit (LEO) satellite-based 5G Integrated Access and Backhaul (IAB) network. Our objective is to investigate how modern transport protocols and congestion control algorithms affect adaptive video delivery in an integrated satellite-terrestrial network (ISTN), where latency, throughput variation, and playback continuity jointly shape the user Quality-of-Experience (QoE). We implement a simulation framework in ns-3 by adapting open-source modules for the 5G radio access network, LEOS backhaul, transport layer protocols, and MPEG-DASH application behavior. Within this framework, TCP and QUIC are evaluated with multiple congestion control algorithms, including CUBIC, NewReno, and BBR. Performance is assessed using application-level and transport-level metrics, including playback duration,…
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