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Pseudo-CR Convolutional FEC for MCVideo

Cédric Thienot 1, 2 Christophe Burdinat 1, 2 Tuan Tran 1, 2 Vincent Roca 3 Belkacem Teibi 3 
3 PRIVATICS - Privacy Models, Architectures and Tools for the Information Society
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services, Inria Lyon
Abstract : In SA4#93, SA4 has initiated the FS_FEC_MCS study item about the applicability of FEC schemes to mission critical services, in particular for MCVideo. MBMS bearer modeling has been accepted in SA#94, and evaluation procedure discussed and pre-agreed in AHI #86 and #88. In SA4#95, we presented the pCR S4-170912, which introduced a solution for MCVideo, based on a convolutional FEC. This solution was just noted, to give more time to delegates to consider this solution. Additionnally, to help the decision was required to include raptor10 within the performance evaluation, which is done in this revision.
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Submitted on : Friday, November 10, 2017 - 5:37:06 PM
Last modification on : Thursday, October 27, 2022 - 1:45:02 PM
Long-term archiving on: : Sunday, February 11, 2018 - 12:31:45 PM


  • HAL Id : hal-01632469, version 1



Cédric Thienot, Christophe Burdinat, Tuan Tran, Vincent Roca, Belkacem Teibi. Pseudo-CR Convolutional FEC for MCVideo. 2017. ⟨hal-01632469⟩



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