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dc.contributor.authorJinfeng Du
dc.contributor.authorMedard, Muriel
dc.contributor.authorMing Xiao, Muriel
dc.contributor.authorSkoglund, Mikael
dc.date.accessioned2018-02-14T19:03:44Z
dc.date.available2018-02-14T19:03:44Z
dc.date.issued2015-11
dc.identifier.issn0018-9448
dc.identifier.issn1557-9654
dc.identifier.urihttp://hdl.handle.net/1721.1/113665
dc.description.abstractThe framework of network equivalence theory developed by Koetter et al. introduces a notion of channel emulation to construct noiseless networks as upper (respectively, lower) bounding models, which can be used to calculate the outer (respectively, inner) bounds for the capacity region of the original noisy network. Based on the network equivalence framework, this paper presents scalable upper and lower bounding models for wireless networks with potentially many nodes. A channel decoupling method is proposed to decompose wireless networks into decoupled multiple-access channels and broadcast channels. The upper bounding model, consisting of only point-to-point bit pipes, is constructed by first extending the one-shot upper bounding models developed by Calmon et al. and then integrating them with network equivalence tools. The lower bounding model, consisting of both point-to-point and point-to-points bit pipes, is constructed based on a two-step update of the lower bounding models to incorporate the broadcast nature of wireless transmission. The main advantages of the proposed methods are their simplicity and the fact that they can be extended easily to large networks with a complexity that grows linearly with the number of nodes. It is demonstrated that the resulting upper and lower bounds can approach the capacity in some setups.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.2015.2497410en_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.titleScalable Capacity Bounding Models for Wireless Networksen_US
dc.typeArticleen_US
dc.identifier.citationJinfeng Du, et al. “Scalable Capacity Bounding Models for Wireless Networks.” IEEE Transactions on Information Theory, vol. 62, no. 1, Jan. 2016, pp. 208–29.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Electromagnetic Theory and Applicationsen_US
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.orderedauthorsJinfeng Du; Medard, Muriel; Ming Xiao, Muriel; Skoglund, Mikaelen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-4059-407X
mit.licenseOPEN_ACCESS_POLICYen_US


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