Online multipath convolutional coding for real-time transmission

Tuan Tran Thai 1 Emmanuel Lochin 1 Jérôme Lacan 1
1 ISAE; DMIA
DMIA - Département de Mathématiques, Informatique, Automatique
Abstract : Most of multipath multimedia streaming proposals use Forward Error Correction (FEC) approach to protect from packet losses. However, FEC does not sustain well burst of losses even when packets from a given FEC block are spread over multiple paths. In this article, we propose an online multipath convolutional coding for real-time multipath streaming based on an on-the-fly coding scheme called Tetrys. We evaluate the benefits brought out by this coding scheme inside an existing FEC multipath load splitting proposal known as Encoded Multipath Streaming (EMS). We demonstrate that Tetrys consistently outperforms FEC in both uniform and burst losses with EMS scheme. We also propose a modification of the standard EMS algorithm that greatly improves the performance in terms of packet recovery. Finally, we analyze different spreading policies of the Tetrys redundancy traffic between available paths and observe that the longer propagation delay path should be preferably used to carry repair packets.
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Article dans une revue
Online multipath convolutional coding for real-time transmission, IEEE, 2012
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https://hal.inria.fr/hal-00684956
Contributeur : Tuan Tran Thai <>
Soumis le : jeudi 5 avril 2012 - 15:17:24
Dernière modification le : mercredi 31 janvier 2018 - 14:00:03
Document(s) archivé(s) le : lundi 26 novembre 2012 - 12:51:38

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  • HAL Id : hal-00684956, version 1
  • ARXIV : 1204.1428

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Tuan Tran Thai, Emmanuel Lochin, Jérôme Lacan. Online multipath convolutional coding for real-time transmission. Online multipath convolutional coding for real-time transmission, IEEE, 2012. 〈hal-00684956〉

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