Error correction for differential linear network coding in slowly-varying networks

Sven Puchinger, Michael Cyran, Robert F.H. Fischer, Martin Bossert, Johannes B. Huber

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

Differential linear network coding (DLNC) is a precoding scheme for information transmission over random linear networks. By using differential encoding and decoding, the conventional approach of lifting, required for inherent channel sounding, can be omitted and in turn higher transmission rates are supported. However, the scheme is sensitive to variations in the network topology. In this paper, we derive an extended DLNC channel model which includes slow network changes. Based on this, we propose and analyze a suitable channel coding scheme matched to the situation at hand using rank-metric convolutional codes.

OriginalspracheEnglisch
TitelSCC 2015 - 10th International ITG Conference on Systems, Communications and Coding
Herausgeber (Verlag)VDE VERLAG GMBH
ISBN (elektronisch)9783800736591
PublikationsstatusVeröffentlicht - 2019
Extern publiziertJa
Veranstaltung10th International ITG Conference on Systems, Communications and Coding, SCC 2015 - Hamburg, Deutschland
Dauer: 2 Feb. 20155 Feb. 2015

Publikationsreihe

NameSCC 2015 - 10th International ITG Conference on Systems, Communications and Coding

Konferenz

Konferenz10th International ITG Conference on Systems, Communications and Coding, SCC 2015
Land/GebietDeutschland
OrtHamburg
Zeitraum2/02/155/02/15

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