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dc.contributor.authorZeng, Weifei
dc.contributor.authorCadambe, Viveck R.
dc.contributor.authorMedard, Muriel
dc.date.accessioned2017-08-23T18:23:08Z
dc.date.available2017-08-23T18:23:08Z
dc.date.issued2016-06
dc.date.submitted2016-04
dc.identifier.issn0018-9448
dc.identifier.issn1557-9654
dc.identifier.urihttp://hdl.handle.net/1721.1/111003
dc.description.abstractIn this paper, we study the wireline two-unicast-Z communication network over directed acyclic graphs. The two-unicast-Z network is a two-unicast network where the destination intending to decode the second message has a priori side information of the first message. We make three contributions in this paper. First, we describe a new linear network coding algorithm for two-unicast-Z networks over the directed acyclic graphs. Our approach includes the idea of interference alignment as one of its key ingredients. For the graphs of a bounded degree, our algorithm has linear complexity in terms of the number of vertices, and the polynomial complexity in terms of the number of edges. Second, we prove that our algorithm achieves the rate pair (1, 1) whenever it is feasible in the network. Our proof serves as an alternative, albeit restricted to two-unicast-Z networks over the directed acyclic graphs, to an earlier result of Wang et al., which studied the necessary and sufficient conditions for the feasibility of the rate pair (1, 1) in two-unicast networks. Third, we provide a new proof of the classical max-flow min-cut theorem for the directed acyclic graphs.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/TIT.2016.2553676en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleAlignment-Based Network Coding for Two-Unicast-Z Networksen_US
dc.typeArticleen_US
dc.identifier.citationZeng, Weifei et al. “Alignment-Based Network Coding for Two-Unicast-Z Networks.” IEEE Transactions on Information Theory 62, 6 (June 2016): 3183–3211 © 2016 Institute of Electrical and Electronics Engineers (IEEE)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Research Laboratory of Electronicsen_US
dc.contributor.mitauthorZeng, Weifei
dc.contributor.mitauthorMedard, Muriel
dc.relation.journalIEEE Transactions on Information Theoryen_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsZeng, Weifei; Cadambe, Viveck R.; Medard, Murielen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-1664-8111
dc.identifier.orcidhttps://orcid.org/0000-0003-4059-407X
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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