Rate-Adaptive Link Quality Estimation for Coded Packet Networks

Maurice Leclaire, Stephan M. Günther, Marten Lienen, Maximilian Riemensberger, Georg Carle

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Coded packet networks allow for proactive injection of redundant packets to compensate for packet loss. Link metrics are usually based on the estimated transmission counter (ETX). This metric is used to determine the expected number of coded packets needed, but does not make guarantees for a specific decoding probability. In this paper we show that relying on the ETX metric leads to a surprisingly high probability that decoding is not possible. Based on this result, we derive a redundancy scheme to allow for an adjustable decoding probability. In a third step, we extend this scheme to also consider the reliability of link quality estimates themselves. We provide a numerically stable and hardware-accelerated implementation of our redundancy scheme, and compare all approaches in a simulated environment. Finally, we show the effect of the new redundancy scheme on different transport layer protocols in a wireless setup with random linear network coding.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE 41st Conference on Local Computer Networks, LCN 2016
PublisherIEEE Computer Society
Pages732-740
Number of pages9
ISBN (Electronic)9781509020546
DOIs
StatePublished - 22 Dec 2016
Externally publishedYes
Event41st IEEE Conference on Local Computer Networks, LCN 2016 - Dubai, United Arab Emirates
Duration: 7 Nov 201610 Nov 2016

Publication series

NameProceedings - Conference on Local Computer Networks, LCN

Conference

Conference41st IEEE Conference on Local Computer Networks, LCN 2016
Country/TerritoryUnited Arab Emirates
CityDubai
Period7/11/1610/11/16

Keywords

  • link quality
  • network coding
  • wireless

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