Error Correction for Differential Linear Network Coding in Slowly-Varying Networks

  title={Error Correction for Differential Linear Network Coding in Slowly-Varying Networks},
  author={Sven Puchinger and Michael Cyran and Robert F. H. Fischer and Martin Bossert and Johannes B. Huber},
The topic of Network Coding (NC) is an emerging field of research in communication technology. It was introduced in [ACLY00] as a method of achieving the maximal throughput in a network. Due to the task of nodes in the network to randomly linear combine incoming messages over a finite field, the name Random Linear Network Coding (RLNC) was established. In [SKK08] a special form of rank-metric codes was proposed for error correction in RLNC networks. These rank-metric codes built up subspace… CONTINUE READING
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Publications referenced by this paper.

In SCC 2013; 9th International ITG Conference on Systems

  • Mathis Seidl, Michael Cyran, Robert F.H. Fischer, Johannes B. Huber. A Differential Encoding Approach to Rand Coding
  • Communication and Coding, pages 1–6, January
  • 2013
Highly Influential
11 Excerpts

published in) IEEE Transactions of Information Theory

  • Danilo Silva, Frank R. Kschischang, Ralf Kötter. A Rank-Metric Approach to Error Control in Coding
  • 54, September
  • 2008
Highly Influential
10 Excerpts

37(2):328 – 336

  • Ron M. Roth. Maximum-Rank Array Codes, the Their Application to Crisscross Error Correction
  • April
  • 1991
Highly Influential
4 Excerpts

Ulm University

  • Antonia Wachter-Zeh. Decoding of Block, Convolutional Codes in Rank Metric. doctoralthesis
  • March
  • 2013
Highly Influential
4 Excerpts


  • Evgeny Spodarev
  • Vorlesungsskript Uni Ulm,
  • 2014


  • Claude E. Shannon. A Mathematical Theory of Communication journal
  • July
  • 1948
1 Excerpt

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