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
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.
Type de document :
Autre publication
3GPP TSG-SA WG4 Meeting #96, Albuquerque, New Mexico, 13th – 17th November 2017. 2017
Liste complète des métadonnées

Littérature citée [10 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01632469
Contributeur : Vincent Roca <>
Soumis le : vendredi 10 novembre 2017 - 17:37:06
Dernière modification le : mardi 14 novembre 2017 - 14:50:02

Identifiants

  • HAL Id : hal-01632469, version 1

Collections

Citation

Cédric Thienot, Christophe Burdinat, Tuan Tran, Vincent Roca, Belkacem Teibi. Pseudo-CR Convolutional FEC for MCVideo. 3GPP TSG-SA WG4 Meeting #96, Albuquerque, New Mexico, 13th – 17th November 2017. 2017. 〈hal-01632469〉

Partager

Métriques

Consultations de la notice

7

Téléchargements de fichiers

11