吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (04): 1076-1081.doi: 10.7964/jdxbgxb201304037

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Decoding of convolutional network coding using sequence matrix

GUO Wang-mei, LI Na, WANG Xiao   

  1. State Key Laboratory of Integrated Severs Network, Xidian University, Xi'an 710071, China
  • Received:2012-03-27 Online:2013-07-01 Published:2013-07-01

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Abstract:

Network coding is analyzed from time sequence in terms of the parity check matrix. As a consequence, the sequence matrix description is given for encoding and decoding of network codes. Meanwhile, the deterministic linear network coding, random linear network coding and convolutional network coding are unified in this framework, which provides deep understanding of network coding. Based on this analysis, a decoding approach is proposed with polynomial-time complexity, the feasibility of the approach is analyzed. Besides, the decoding principle and some properties of the convolutional network coding are discussed. Finally, a case study illustrates the decoding procedure of network coding using sequence matrix description.

Key words: communication, network coding, convolutional network coding, decoding approach, network coding architecture

CLC Number: 

  • TN911.22

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