Show simple item record

dc.contributor.authorGwon, Youngjune Lee
dc.contributor.authorDastangoo, Siamak
dc.contributor.authorKung, H. T.
dc.date.accessioned2014-07-03T13:44:26Z
dc.date.issued2013
dc.identifier.citationGwon, Youngjune L., Siamak Dastangoo, H. T. Kung. 2013. Optimizing Media Access Strategy for Competing Cognitive Radio Networks. IEEE GLOBECOM 2013, Atlanta, GA, December 9-13, 2013.en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:12388489
dc.description.abstractThis paper describes an adaptation of cognitive radio technology for tactical wireless networking. We introduce Competing Cognitive Radio Network (CCRN) featuring both communicator and jamming cognitive radio nodes that strategize in taking actions on an open spectrum under the presence of adversarial threats. We present the problem in the Multi-armed Bandit (MAB) framework and develop the optimal media access strategy consisting of mixed communicator and jammer actions in a Bayesian setting for Thompson sampling based on extreme value theory. Empirical results are promising that the proposed strategy seems to outperform Lai & Robbins and UCB, some of the most important MAB algorithms known to date.en_US
dc.description.sponsorshipEngineering and Applied Sciencesen_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dash.licenseOAP
dc.titleOptimizing Media Access Strategy for Competing Cognitive Radio Networksen_US
dc.typeConference Paperen_US
dc.description.versionAccepted Manuscripten_US
dc.relation.journalIEEE GLOBECOM 2013en_US
dash.depositing.authorKung, H. T.
dc.date.available2014-07-03T13:44:26Z
workflow.legacycommentsFAR 2014en_US
dash.contributor.affiliatedGwon, Youngjune
dash.contributor.affiliatedKung, H.


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record