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dc.contributor.authorShokri-Ghadikolaei, Hossein
dc.contributor.authorFischione, Carlo
dc.contributor.authorModiano, Eytan H
dc.date.accessioned2017-01-26T16:50:29Z
dc.date.available2017-01-26T16:50:29Z
dc.date.issued2016-05
dc.identifier.isbn978-1-4799-6664-6
dc.identifier.urihttp://hdl.handle.net/1721.1/106637
dc.description.abstractWe develop a new framework for measuring and comparing the accuracy of any wireless interference models used in the analysis and design of wireless networks. Our approach is based on a new index that assesses the ability of the interference model to correctly predict harmful interference events, i.e., link outages. We use this new index to quantify the accuracy of various interference models used in the literature, under various scenarios such as Rayleigh fading wireless channels, directional antennas, and blockage (impenetrable obstacles) in the network. Our analysis reveals that in highly directional antenna settings with obstructions, even simple interference models (e.g., the classical protocol model) are accurate, while with omnidirectional antennas, more sophisticated and complex interference models (e.g., the classical physical model) are necessary. Our new approach makes it possible to adopt the appropriate interference model of adequate accuracy and simplicity in different settings.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICC.2016.7510904en_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.titleOn the accuracy of interference models in wireless communicationsen_US
dc.typeArticleen_US
dc.identifier.citationShokri-Ghadikolaei, Hossein, Carlo Fischione, and Eytan Modiano. “On the Accuracy of Interference Models in Wireless Communications.” IEEE, 2016. 1–6.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.contributor.mitauthorModiano, Eytan H
dc.relation.journalProceedings of the 2016 IEEE International Conference on Communications (ICC)en_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsShokri-Ghadikolaei, Hossein; Fischione, Carlo; Modiano, Eytanen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-8238-8130
mit.licenseOPEN_ACCESS_POLICYen_US


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