Network Coding Over The 232: 5 Prime Field

Morten Videbæk Pedersen, Janus Heide, Peter Vingelmann, Frank Fitzek

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

11 Citations (Scopus)
549 Downloads (Pure)

Abstract

Creating efficient finite field implementations has
been an active research topic for several decades. Many appli-
cations in areas such as cryptography, signal processing, erasure
coding and now also network coding depend on this research to
deliver satisfactory performance. In this paper we investigate
the use of prime fields with a field size of 232 − 5, as this
allows implementations which combines high field sizes and low
complexity. First we introduce the algorithms needed to apply
prime field arithmetics to arbitrary binary data. After this we
present the initial throughput measurements from a benchmark
application written in C++. These results are finally compared
to different binary and binary extension field implementations.
The results show that the prime field implementation offers a
large field size while maintaining a very good performance. We
believe that using prime fields will be useful in many network
coding applications where large field sizes are required.
Original languageEnglish
Title of host publicationCommunications (ICC), 2013 IEEE International Conference on
Number of pages6
PublisherIEEE
Publication date2013
Pages2922 - 2927
ISBN (Print)978-1-4673-3122-7
DOIs
Publication statusPublished - 2013
EventIEEE CoCoNet5 Workshop 2013 - Cooperative and Cognitive Mobile Networks (CoCoNet5) : IEEE ICC 2013 - Budapest, Hungary
Duration: 9 Jun 2013 → …

Workshop

WorkshopIEEE CoCoNet5 Workshop 2013 - Cooperative and Cognitive Mobile Networks (CoCoNet5)
Country/TerritoryHungary
CityBudapest
Period09/06/2013 → …
SeriesI E E E International Conference on Communications
ISSN1550-3607

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