Network equivalence for a joint compound-arbitrarily-varying network model

Oliver Kosut, Jorg Kliewer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations


We consider the problem of finding the capacity of noisy networks under the presence of Byzantine adversaries, modeled by a joint compound channel and arbitrarily varying channel (AVC) model. This extends our earlier work which considers these models only in isolation. The motivation for this setup is that typically the adversary first selects an arbitrary subset of edges from the network and then specifies adversarial transmissions to each of the selected edges. We show that in some cases equivalence between this network and another network holds in the sense that for a fixed selection of adversarial edges the noisy links can be replaced by noiseless bit-pipes with a capacity equal to the random coding capacity of the corresponding AVC. In particular, the capacity region for the noisy network can be outer bounded by the intersection of the individual capacity regions for the noiseless case, for each adversarial edge selection. Moreover, if the network is fully connected, we also show that this upper bound is equivalent to the capacity of the noisy network. We also provide necessary and sufficient condition for full connectivity, making use of a new condition for an AVC termed overwritability.

Original languageEnglish (US)
Title of host publication2016 IEEE Information Theory Workshop, ITW 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781509010905
StatePublished - Oct 21 2016
Event2016 IEEE Information Theory Workshop, ITW 2016 - Cambridge, United Kingdom
Duration: Sep 11 2016Sep 14 2016

Publication series

Name2016 IEEE Information Theory Workshop, ITW 2016


Other2016 IEEE Information Theory Workshop, ITW 2016
Country/TerritoryUnited Kingdom

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Software
  • Signal Processing


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