Error correction for differential linear network coding in slowly-varying networks
Puchinger S, Cyran M, Fischer RF, Bossert M, Huber J (2019)
Publication Type: Conference contribution
Publication year: 2019
Publisher: VDE Verlag GmbH
Conference Proceedings Title: SCC 2015 - 10th International ITG Conference on Systems, Communications and Coding
Event location: Hamburg
ISBN: 9783800736591
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.
Authors with CRIS profile
Michael Cyran
Lehrstuhl für Informationsübertragung
Johannes Huber
Lehrstuhl für Informationsübertragung
Involved external institutions
How to cite
APA:
Puchinger, S., Cyran, M., Fischer, R.F., Bossert, M., & Huber, J. (2019). Error correction for differential linear network coding in slowly-varying networks. In SCC 2015 - 10th International ITG Conference on Systems, Communications and Coding. Hamburg, DE: VDE Verlag GmbH.
MLA:
Puchinger, Sven, et al. "Error correction for differential linear network coding in slowly-varying networks." Proceedings of the 10th International ITG Conference on Systems, Communications and Coding, SCC 2015, Hamburg VDE Verlag GmbH, 2019.
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