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dc.contributor.authorTalak, Rajat
dc.contributor.authorKaraman, Sertac
dc.contributor.authorModiano, Eytan
dc.date.accessioned2021-11-09T13:17:57Z
dc.date.available2021-11-09T13:17:57Z
dc.date.issued2018-06
dc.identifier.urihttps://hdl.handle.net/1721.1/137852
dc.description.abstract© 2018 IEEE. Age of Information (AoI), measures the time elapsed since the last received information packet was generated at the source. We consider the problem of AoI minimization for single-hop flows in a wireless network, under pairwise interference constraints and time varying channel. We consider simple, yet broad, class of distributed scheduling policies, in which a transmission is attempted over each link with a certain attempt probability. We obtain an interesting relation between the optimal attempt probability and the optimal AoI of the link, and its neighboring links. We then show that the optimal attempt probabilities can be computed by solving a convex optimization problem, which can be done distributively.en_US
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/SPAWC.2018.8445979en_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.titleDistributed Scheduling Algorithms for Optimizing Information Freshness in Wireless Networksen_US
dc.typeArticleen_US
dc.identifier.citationTalak, Rajat, Karaman, Sertac and Modiano, Eytan. 2018. "Distributed Scheduling Algorithms for Optimizing Information Freshness in Wireless Networks."
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-10-29T13:10:55Z
dspace.date.submission2019-10-29T13:10:58Z
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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