Convolutional network codes

Elona Erez*, Meir Feder

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

Convolutional network codes (CNC) for cyclic graphs are analyzed. A CNC requires a smaller memory for each coding coefficient at edge e. For CNC the overhead is the initial delay before the sinks start receiving symbols. It was shown that the CNC with the sequential decoder above achieves good performance for some networks. It was found that networks in which there is worst case delay is also improved by CNC.

Original languageEnglish
Pages (from-to)146
Number of pages1
JournalIEEE International Symposium on Information Theory - Proceedings
StatePublished - 2004
EventProceedings - 2004 IEEE International Symposium on Information Theory - Chicago, IL, United States
Duration: 27 Jun 20042 Jul 2004

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