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dc.contributor.authorPérez Arriaga, Jesús 
dc.contributor.authorVía Rodríguez, Javier 
dc.contributor.authorVielva Martínez, Luis Antonio 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2020-02-03T07:58:19Z
dc.date.available2020-02-03T07:58:19Z
dc.date.issued2019
dc.identifier.isbn978-9-0827-9703-9
dc.identifier.isbn978-9-0827-9702-2
dc.identifier.otherTEC2017-86921-C2-1-Res_ES
dc.identifier.otherTEC2016-81900-REDT/AEes_ES
dc.identifier.urihttp://hdl.handle.net/10902/18041
dc.description.abstractIn Heterogeneous Networks, small cells are usually deployed without operator supervision. Their proper operation highly depends on their self-adaptation capability, especially in dense HetNets where various small cells coexist in the same macrocell. This capability requires the small-cell base stations to continuously sense the radio environment, so they can dynamically adapt their operational setting (e.g. transmission power, carrier/channel selection, etc.) to the environmental conditions. In this work we propose a new method for a small base station to monitor the activity of the rest of nodes in the macrocell. We consider a centralized sensing procedure based on the fusion of the energy levels measured by the users of the small cell at their locations. In particular, we present an efficient algorithm that enables the small base station to monitor the activity of the rest of nodes. In addition, the algorithm also provides the gain of the channels between the nodes and the users of the small cell.es_ES
dc.description.sponsorshipThis work has been funded by the Ministerio de Economía, Industria y Competitividad (MINECO) of Spain under grant TEC2017-86921-C2-1-R (CAIMAN) and under the KERMES Network (TEC2016-81900-REDT/AEI).es_ES
dc.format.extent5 p.es_ES
dc.language.isoenges_ES
dc.publisherInstitute of Electrical and Electronics Engineers Inc.es_ES
dc.rights© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.es_ES
dc.source27th European Signal Processing Conference (EUSIPCO), A Coruña, 2019, 1-5.es_ES
dc.subject.otherHeterogeneous networkses_ES
dc.subject.otherCooperative sensinges_ES
dc.subject.otherEnergy detectiones_ES
dc.subject.otherLeast squareses_ES
dc.titleNode activity monitoring in heterogeneous networks using energy sensorses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.relation.publisherVersionhttps://doi.org/10.23919/EUSIPCO.2019.8903018es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.23919/EUSIPCO.2019.8903018
dc.type.versionacceptedVersiones_ES


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