Modelo de decisión espectral colaborativo para redes de radio cognitiva

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dc.contributor.authorHernádez Suárez, César Augusto
dc.contributor.authorLópez Sarmiento, Danilo Alfonso
dc.contributor.authorGiral Ramírez, Diego Armando
dc.contributor.orcidLópez Sarmiento, Danilo Alfonso [0000-0002-6148-3099]spa
dc.contributor.orcidGiral Ramírez, Diego Armando [0000-0001-9983-4555]spa
dc.date.accessioned2023-09-21T17:16:30Z
dc.date.available2023-09-21T17:16:30Z
dc.date.created2020-11
dc.descriptionLa decisión espectral es un aspecto clave para mejorar el desempeño en las redes de radio cognitiva descentralizadas. Los usuarios secundarios deben tomar decisiones inteligentes en función de la variación del espectro y de las acciones adoptadas por otros usuarios secundarios. A partir de esta dinámica, la probabilidad de que dos o más usuarios secundarios elijan el mismo canal es alta, especialmente cuando el número de usuarios secundarios es mayor que el número de canales disponibles, debido a la externalidad negativa de la red; cuantos más usuarios secundarios seleccionen el mismo canal, menor será la utilidad que cada usuario secundario pueda obtener y el número de interferencias por el acceso simultáneo será mayor. Por esto, para modelar la red bajo parámetros de tráfico realistas, es necesario tener en cuenta la colaboración entre usuarios secundarios. Este libro de investigación presenta una propuesta para mejorar el proceso de toma de decisiones en una red de radio cognitiva descentralizada, y así dotar a los nodos con la capacidad de aprender del entorno, proponiendo estrategias que les permitan a los usuarios secundarios intercambiar información de forma cooperativa o competitiva.spa
dc.description.abstractSpectral decision is a key aspect to improve performance in decentralized cognitive radio networks. Secondary users must make intelligent decisions based on spectrum variation and actions taken by other secondary users. From this dynamic, the probability that two or more secondary users choose the same channel is high, especially when the number of secondary users is greater than the number of available channels, due to the negative externality of the network; The more secondary users select the same channel, the less utility each secondary user can obtain and the greater the number of interferences due to simultaneous access. Therefore, to model the network under realistic traffic parameters, it is necessary to take into account the collaboration between secondary users. This research book presents a proposal to improve the decision-making process in a decentralized cognitive radio network, and thus provide the nodes with the ability to learn from the environment, proposing strategies that allow secondary users to exchange information cooperative or competitive.spa
dc.description.cityBogotáspa
dc.format.mimetypepdfspa
dc.identifier.editorialUniversidad Distrital Francisco José de Caldas. Centro de Investigaciones y Desarrollo Científicospa
dc.identifier.isbn978-958-787-245-3spa
dc.identifier.urihttp://hdl.handle.net/11349/32259
dc.language.isospaspa
dc.relation.ispartofseriesEspaciosspa
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dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accesoAbierto (Texto Completo)spa
dc.rights.accessrightsOpenAccessspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDecisión espectralspa
dc.subjectRedes de radiospa
dc.subjectRedes de radio cognitivaspa
dc.subjectSimulaciónspa
dc.subjectAlgoritmos colaborativospa
dc.subject.keywordSpectral decisionspa
dc.subject.keywordRadio networksspa
dc.subject.keywordCognitive radio networksspa
dc.subject.keywordSimulationspa
dc.subject.keywordCollaborative algorithmsspa
dc.subject.lembRedes de radio cognitivaspa
dc.subject.lembEspectro radioeléctricospa
dc.titleModelo de decisión espectral colaborativo para redes de radio cognitivaspa
dc.title.titleenglishCollaborative spectral decision model for cognitive radio networksspa
dc.typebookspa
dc.type.driverinfo:eu-repo/semantics/bookspa

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