TY - GEN
T1 - Construction of convolutional network coding for cyclic multicast networks
AU - Guo, Qin
AU - Luo, Mingxing
AU - Li, Lixiang
AU - Wang, Licheng
AU - Yang, Yixian
PY - 2010
Y1 - 2010
N2 - In this paper, we present a practical algorithm to construct the convolutional multicast network coding over any finite directed cyclic network. The dual line graph of a directed cyclic graph is considered as a system. By regarding the global encoding kernels in the original graph as the corresponding inputs or outputs of some subsystem and the local encoding kernels in original graph as gains of channels, we can construct the convolutional network code through randomly choosing the local encoding kernels of the directed cycles in networks. By using Mason formula, the construction becomes very efficient.
AB - In this paper, we present a practical algorithm to construct the convolutional multicast network coding over any finite directed cyclic network. The dual line graph of a directed cyclic graph is considered as a system. By regarding the global encoding kernels in the original graph as the corresponding inputs or outputs of some subsystem and the local encoding kernels in original graph as gains of channels, we can construct the convolutional network code through randomly choosing the local encoding kernels of the directed cycles in networks. By using Mason formula, the construction becomes very efficient.
KW - Convolutional multicast
KW - Convolutional network code
KW - Dual line graph
KW - Mason formula
UR - https://www.scopus.com/pages/publications/78650283501
U2 - 10.1109/SWS.2010.5607429
DO - 10.1109/SWS.2010.5607429
M3 - Conference contribution
AN - SCOPUS:78650283501
SN - 9781424463572
T3 - Proceedings - 2010 IEEE 2nd Symposium on Web Society, SWS 2010
SP - 336
EP - 341
BT - Proceedings - 2010 IEEE 2nd Symposium on Web Society, SWS 2010
T2 - 2010 IEEE 2nd Symposium on Web Society, SWS 2010
Y2 - 16 August 2010 through 17 August 2010
ER -