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arxiv: 2604.16634 · v1 · submitted 2026-04-17 · 💻 cs.NI

End-to-End Performance of Video Streaming With MPEG-DASH Over Satellite 5G IAB Networks

Muhammad Adeel Zahid , Ekram Hossain , Peng Hu This is my paper

Pith reviewed 2026-05-10 07:00 UTC · model grok-4.3

classification 💻 cs.NI
keywords MPEG-DASHQUICBBR congestion controlLEO satellite5G IABvideo streamingQoE evaluationtransport protocols
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The pith

Simulations find QUIC-BBR offers the most balanced performance for MPEG-DASH streaming over LEO satellite 5G IAB networks.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

This paper evaluates the performance of adaptive video streaming using MPEG-DASH over a simulated Low Earth Orbit satellite 5G Integrated Access and Backhaul network. It compares TCP and QUIC transport protocols using different congestion control algorithms under conditions of high latency and throughput variation. The study measures metrics such as playback duration, number of interruptions, latency, and fairness to assess user quality of experience. Results show tradeoffs among the options, with QUIC-BBR standing out for maintaining good playback continuity while keeping latency low. This work matters because it informs how to optimize video delivery in emerging satellite-terrestrial communication systems.

Core claim

The central discovery is that while no transport and congestion control pair excels in every metric, QUIC with BBR provides the best overall balance for streaming quality of experience. It achieves adequate playback duration, fewer interruptions, and substantially lower latency than the TCP-based alternatives and other QUIC variants tested in the ns-3 framework for LEO satellite 5G IAB networks.

What carries the argument

The ns-3 based end-to-end simulation that integrates 5G radio access, LEO backhaul links, transport protocols, and MPEG-DASH adaptive streaming logic to track both network and application performance.

Load-bearing premise

The simulation modules in ns-3 correctly model the latency, throughput fluctuations, and interactions present in real satellite 5G IAB networks.

What would settle it

A field test streaming DASH video over an actual LEO satellite 5G IAB connection and recording the number of playback stalls and average latency for QUIC-BBR versus other protocols would directly test the main finding.

Figures

Figures reproduced from arXiv: 2604.16634 by Ekram Hossain, Muhammad Adeel Zahid, Peng Hu.

Figure 1
Figure 1. Figure 1: System architecture Cellular Stack 5G NR is the global standard for the 5G air interface, designed to support diverse use cases ranging from enhanced Mobile Broadband to Ultra-Reliable Low-Latency Commu￾nications. Key architectural advancements include support for millimeter-wave (mmWave) spectrum, which offers vast bandwidth resources, and flexible numerologies that adapt subcarrier spacing to different c… view at source ↗
Figure 2
Figure 2. Figure 2: CDFs of average playback bitrate and mean throughput. [PITH_FULL_IMAGE:figures/full_fig_p005_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Playback duration [PITH_FULL_IMAGE:figures/full_fig_p005_3.png] view at source ↗
read the original 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, interruption duration, stall count, playback bitrate, throughput, latency, and fairness. The results show that no single configuration is uniformly optimal across all metrics. However, clear tradeoffs are observed among throughput, latency, playback continuity, and fairness. In particular, QUIC-BBR provides the most balanced overall behavior from a streaming QoE perspective, combining adequate playback duration with fewer interruptions and substantially lower latency than other alternatives. These findings highlight the importance of jointly considering transport design and congestion control when evaluating adaptive video streaming over ISTNs.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript conducts an end-to-end performance evaluation of MPEG-DASH video streaming over LEO satellite 5G IAB networks using ns-3 simulations. It compares TCP and QUIC with congestion control algorithms including CUBIC, NewReno, and BBR, assessing metrics such as playback duration, interruption duration, stall count, bitrate, throughput, latency, and fairness. The central claim is that no single configuration is optimal but QUIC-BBR provides the most balanced QoE, with adequate playback, fewer interruptions, and substantially lower latency.

Significance. If the underlying simulation model is accurate, the work provides timely empirical insights into transport protocol and congestion control trade-offs for adaptive video streaming in integrated satellite-terrestrial networks, an increasingly relevant scenario. The adaptation of open-source ns-3 modules for 5G RAN, LEO backhaul, and DASH is a positive feature that supports potential reproducibility of the framework.

major comments (2)
  1. [Simulation Framework] Simulation Framework: The ns-3 implementation combining 5G IAB, LEO backhaul, QUIC/TCP stacks, and MPEG-DASH modules is described at a high level with no calibration data, comparison to satellite testbed traces, or validation of latency/throughput dynamics and handover effects; this directly undermines confidence in the QoE rankings and the claim that QUIC-BBR is most balanced.
  2. [Results] Results: No error bars, variance across runs, or sensitivity analysis on key parameters (e.g., orbital mechanics, beam handover timing, 5G NR scheduling, or IAB relay buffering) are reported, so the observed trade-offs (particularly BBR's latency advantage and interruption reductions) cannot be assessed for robustness.
minor comments (2)
  1. [Abstract] The abstract summarizes findings qualitatively but omits even a few representative quantitative values (e.g., latency differences or interruption counts) that would strengthen the presentation of the main result.
  2. [Evaluation Metrics] Metric definitions (playback duration, interruption duration, stall count) are referenced but their exact computation from the DASH buffer model and transport traces could be stated more explicitly for clarity.

Simulated Author's Rebuttal

2 responses · 1 unresolved

We thank the referee for the constructive feedback on our end-to-end evaluation of MPEG-DASH over LEO satellite 5G IAB networks. We address each major comment below with honest responses and indicate planned revisions to improve clarity and robustness without overstating the simulation results.

read point-by-point responses

  1. Referee: [Simulation Framework] The ns-3 implementation combining 5G IAB, LEO backhaul, QUIC/TCP stacks, and MPEG-DASH modules is described at a high level with no calibration data, comparison to satellite testbed traces, or validation of latency/throughput dynamics and handover effects; this directly undermines confidence in the QoE rankings and the claim that QUIC-BBR is most balanced.

    Authors: We acknowledge that the manuscript presents the ns-3 framework at a relatively high level, focusing on the integration of open-source modules for 5G RAN, LEO backhaul, transport protocols, and DASH. While this approach enables reproducibility, we did not include calibration data or direct comparisons to satellite testbed traces, nor did we validate the combined latency, throughput, and handover dynamics beyond the individual module validations reported in their source literature. This is a limitation of the current simulation study. In the revised version, we will expand the simulation framework section with additional details on all key parameters, model assumptions, and references to prior validations of the constituent modules. These changes will provide greater transparency and better support evaluation of the QoE findings, although we cannot incorporate empirical testbed comparisons without new experimental work. revision: partial

  2. Referee: [Results] No error bars, variance across runs, or sensitivity analysis on key parameters (e.g., orbital mechanics, beam handover timing, 5G NR scheduling, or IAB relay buffering) are reported, so the observed trade-offs (particularly BBR's latency advantage and interruption reductions) cannot be assessed for robustness.

    Authors: We agree that the lack of statistical reporting and sensitivity analysis reduces the ability to assess robustness of the observed trade-offs. In the revised manuscript, we will perform additional simulation runs with varied random seeds and report mean values with error bars or standard deviations for metrics such as playback continuity, stalls, latency, and throughput. We will also add a sensitivity analysis on parameters including beam handover timing, 5G NR scheduling, and IAB relay buffering to confirm that the balanced performance of QUIC-BBR remains consistent. These updates will be included in the results section to strengthen the evidence for the reported conclusions. revision: yes

standing simulated objections not resolved
  • Providing calibration data or direct comparisons to real satellite testbed traces for the integrated ns-3 model, as the study is simulation-based and such empirical validation was not conducted in the original work.

Circularity Check

0 steps flagged

No circularity: performance rankings are direct outputs of ns-3 simulation runs

full rationale

The paper reports QoE metrics (playback duration, interruptions, latency) obtained by executing ns-3 simulations that combine 5G IAB, LEO backhaul, QUIC/TCP, and DASH modules. No equations, fitted parameters, or predictions are presented that reduce to the simulation inputs by construction. Claims rest on observed simulation outcomes rather than any self-definitional loop, ansatz smuggled via citation, or uniqueness theorem imported from the authors' prior work. Minor references to open-source ns-3 modules constitute standard tool reuse and do not create load-bearing circularity.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

The central claim rests on the fidelity of the ns-3 simulation modules and the representativeness of the chosen traffic and channel models; no new physical entities or mathematical axioms are introduced.

pith-pipeline@v0.9.0 · 5556 in / 1085 out tokens · 29278 ms · 2026-05-10T07:00:57.454349+00:00 · methodology

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