On Convolutional Network Coding

  title={On Convolutional Network Coding},
  author={S.-Y.R. Li and Raymond W. Yeung},
  journal={2006 IEEE International Symposium on Information Theory},
Convolutional network coding deals with the propagation of a message pipeline through a cyclic network. We formulate a Convolutional network code by associating every pair of adjacent channels with a rational power series over the base field, called the local encoding kernel, and every channel with a concomitant global encoding kernel, which is a vector of rational power series. Given a complete set of local encoding kernels, a close-form formula is derived for calculating the global encoding… CONTINUE READING
Highly Cited
This paper has 77 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper


Publications citing this paper.
Showing 1-10 of 36 extracted citations

Time-Variant Decoding of Convolutional Network Codes

IEEE Communications Letters • 2012
View 4 Excerpts
Highly Influenced

Delay invariant convolutional network codes

2011 IEEE International Symposium on Information Theory Proceedings • 2011
View 6 Excerpts
Highly Influenced

Efficient Network Code Design for Cyclic Networks

IEEE Transactions on Information Theory • 2010
View 4 Excerpts
Highly Influenced

The conditions to determine convolutional network coding on matrix representation

2009 Workshop on Network Coding, Theory, and Applications • 2009
View 5 Excerpts
Highly Influenced

Initialization Algorithms for Convolutional Network Coding

IEEE Transactions on Information Theory • 2018
View 2 Excerpts

Design of FEC for Low Delay in 5G

IEEE Journal on Selected Areas in Communications • 2017
View 1 Excerpt

78 Citations

Citations per Year
Semantic Scholar estimates that this publication has 78 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.