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dc.contributor.authorLabib, Minaen
dc.contributor.authorMartone, Anthony F.en
dc.contributor.authorMarojevic, Vuken
dc.contributor.authorReed, Jeffrey H.en
dc.contributor.authorZaghloul, Amir I.en
dc.date.accessioned2019-08-14T16:37:58Z
dc.date.available2019-08-14T16:37:58Z
dc.date.issued2019en
dc.identifier.urihttp://hdl.handle.net/10919/93131
dc.description.abstractThis paper proposes a chance-constrained stochastic optimization technique that enables effective coexistence between LTE-Unlicensed base stations and radars in a shared spectrum. The optimization problem is formulated to guarantee the minimum performance criteria for radar operation, and at the same time, allows the LTE-Unlicensed base station to control its transmit power to maximize the performance for the serving LTE-Unlicensed device. The proposed power control mechanism results in significant reduction of the required protection distance (3.9% of the one imposed by regulations) between the radar and the LTE-Unlicensed network for the two to effectively coexist in a shared spectrum.en
dc.description.sponsorshipU.S. Army Research Laboratoryen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherIEEEen
dc.rightsCreative Commons Attribution 3.0en
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectLTE-unlicenseden
dc.subjectLAAen
dc.subjectLTE-Uen
dc.subjectradar systemsen
dc.subjectcoexistenceen
dc.subjectspectrum sharingen
dc.subjectstochastic optimizationen
dc.subjectchance-constrained optimizationen
dc.subjectpower controlen
dc.subjectcognitive radarsen
dc.titleA Stochastic Optimization Approach for Spectrum Sharing of Radar and LTE Systemsen
dc.typeArticle - Refereeden
dc.description.notesThis work was supported in part by the U.S. Army Research Laboratory.en
dc.title.serialIEEE Accessen
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2019.2913888en
dc.identifier.volume7en
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen
dc.identifier.eissn2169-3536en


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Creative Commons Attribution 3.0
License: Creative Commons Attribution 3.0