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Congestion Control for RTP Media: A Comparison on Simulated Environment

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Simulation Tools and Techniques (SIMUtools 2019)

Abstract

The audio and video applications based on Real Time Protocol (RTP) have been exploded in recent years. To develop low latency congestion control algorithms for real time traffic to provide better quality of experience and to avoid network congestion has gained much attention. RTP Media Congestion Avoidance Techniques (RMCAT) working group was initiated for proposal draft. Currently, there are three algorithms under this group, Network Assisted Dynamic Adaptation (NADA), Google Congestion Control (GCC) and Self-Clocked Rate Adaptation for Multimedia (SCReAM). This paper integrates the three algorithms into simulated platform and their performances are compared and analyzed. Results show GCC has well fairness property and can maintain quite reasonable packet sending rate in loss link but converges a bit slowly in dynamic link, NADA stabilizes its rate quickly but suffers from “late-comer” effect, SCReAM has the lowest queue occupation but also lower link capacity utilization.

This work was supported by the National Key Research and Development Program of China (2018YFB1702000), the Liaoning Provincial Natural Science Foundation of China (No. 20180551007), and the National Natural Science Foundation of China (No. 61671141).

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Notes

  1. 1.

    https://www.nsnam.org/.

  2. 2.

    https://github.com/cisco/ns3-rmcat.

  3. 3.

    https://github.com/SoonyangZhang/rmcat-ns3.

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Correspondence to Weimin Lei .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhang, S., Lei, W., Zhang, W., Guan, Y. (2019). Congestion Control for RTP Media: A Comparison on Simulated Environment. In: Song, H., Jiang, D. (eds) Simulation Tools and Techniques. SIMUtools 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 295. Springer, Cham. https://doi.org/10.1007/978-3-030-32216-8_4

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  • DOI: https://doi.org/10.1007/978-3-030-32216-8_4

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  • Online ISBN: 978-3-030-32216-8

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