DocumentCode
2053318
Title
Convolutional network codes
Author
Erez, Elona ; Feder, Meir
Author_Institution
Dept. of Electr. Eng.-Syst., Tel Aviv Univ., Israel
fYear
2004
fDate
27 June-2 July 2004
Firstpage
146
Abstract
Convolutional network codes are considered for cyclic graphs. In CNC each node receives several streams and generates output streams whose current symbols depend on the current input symbols and previous input symbols in the node memory. A multicast CNC can be constructed using an algorithm, in order to minimize the memory and overhead, coefficients of lower polynomial degree are drawn to consideration. For CNC the overhead is the initial delay before the sinks start receiving symbols. CNC with the sequential decoder achieves good performance for some networks.
Keywords
convolutional codes; graph theory; multicast communication; sequential decoding; cyclic graph; input symbol; lower polynomial degree; multicast convolutional network code; node memory; sequential decoder; Computer numerical control; Convolutional codes; Decoding; Delay effects; Electronic mail; Multicast algorithms; Polynomials; Power generation; Signal processing algorithms; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Print_ISBN
0-7803-8280-3
Type
conf
DOI
10.1109/ISIT.2004.1365183
Filename
1365183
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