Modelo adaptativo multivariable de handoff espectral para incrementar el desempeño en redes móviles de radio cognitiva

El handoff espectral, en las redes de radio cognitiva, ocurre cuando el usuario secundario debe dejar el canal de frecuencia que está utilizando y continuar su comunicación en otra oportunidad espectral. Este proceso es un aspecto clave para garantizar una adecuada calidad de servicio y mejorar el d...

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Fecha de publicación:
2017
Institución:
Universidad Distrital Francisco José de Caldas
Repositorio:
RIUD: repositorio U. Distrital
Idioma:
spa
OAI Identifier:
oai:repository.udistrital.edu.co:11349/33023
Acceso en línea:
http://hdl.handle.net/11349/33023
Palabra clave:
Redes de radio cognitiva
Modelo adaptativo multivariable
Algoritmos de toma de decisiones
Métricas de evaluación
Espectro electromagnético
Espectro radioeléctrico
Telecomunicaciones
Algoritmos
Cognitive radio networks
Multivariable adaptive model
Decision making algorithms
Evaluation Metrics
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License
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
id UDISTRITA2_fcf8e1c444242669301f994a7412a98b
oai_identifier_str oai:repository.udistrital.edu.co:11349/33023
network_acronym_str UDISTRITA2
network_name_str RIUD: repositorio U. Distrital
repository_id_str
dc.title.spa.fl_str_mv Modelo adaptativo multivariable de handoff espectral para incrementar el desempeño en redes móviles de radio cognitiva
dc.title.titleenglish.spa.fl_str_mv Adaptive multivariate spectral handoff model to increase performance in mobile cognitive radio networks
title Modelo adaptativo multivariable de handoff espectral para incrementar el desempeño en redes móviles de radio cognitiva
spellingShingle Modelo adaptativo multivariable de handoff espectral para incrementar el desempeño en redes móviles de radio cognitiva
Redes de radio cognitiva
Modelo adaptativo multivariable
Algoritmos de toma de decisiones
Métricas de evaluación
Espectro electromagnético
Espectro radioeléctrico
Telecomunicaciones
Algoritmos
Cognitive radio networks
Multivariable adaptive model
Decision making algorithms
Evaluation Metrics
title_short Modelo adaptativo multivariable de handoff espectral para incrementar el desempeño en redes móviles de radio cognitiva
title_full Modelo adaptativo multivariable de handoff espectral para incrementar el desempeño en redes móviles de radio cognitiva
title_fullStr Modelo adaptativo multivariable de handoff espectral para incrementar el desempeño en redes móviles de radio cognitiva
title_full_unstemmed Modelo adaptativo multivariable de handoff espectral para incrementar el desempeño en redes móviles de radio cognitiva
title_sort Modelo adaptativo multivariable de handoff espectral para incrementar el desempeño en redes móviles de radio cognitiva
dc.contributor.orcid.none.fl_str_mv Páez-Parra, Ingrid Patricia [0009-0008-1033-8714]
Giral Ramírez, Diego Armando [0000-0001-9983-4555]
Hernández Suárez, César Augusto [0000-0001-9409-8341]
dc.subject.spa.fl_str_mv Redes de radio cognitiva
Modelo adaptativo multivariable
Algoritmos de toma de decisiones
Métricas de evaluación
topic Redes de radio cognitiva
Modelo adaptativo multivariable
Algoritmos de toma de decisiones
Métricas de evaluación
Espectro electromagnético
Espectro radioeléctrico
Telecomunicaciones
Algoritmos
Cognitive radio networks
Multivariable adaptive model
Decision making algorithms
Evaluation Metrics
dc.subject.lemb.spa.fl_str_mv Espectro electromagnético
Espectro radioeléctrico
Telecomunicaciones
Algoritmos
dc.subject.keyword.spa.fl_str_mv Cognitive radio networks
Multivariable adaptive model
Decision making algorithms
Evaluation Metrics
description El handoff espectral, en las redes de radio cognitiva, ocurre cuando el usuario secundario debe dejar el canal de frecuencia que está utilizando y continuar su comunicación en otra oportunidad espectral. Este proceso es un aspecto clave para garantizar una adecuada calidad de servicio y mejorar el desempeño en las comunicaciones del usuario secundario. Este libro de investigación tiene por objetivo presentar una propuesta de modelo adaptativo multivariable de handoff espectral para redes móviles de radio cognitiva. Para lo anterior, se desarrollaron tres algoritmos para la toma de decisiones durante un handoff espectral, con diferentes enfoques: difuso, realimentado y predictivo; estos conforman el modelo adaptativo multivariable de handoff espectral propuesto. Para evaluar el nivel de desempeño de los algoritmos desarrollados se realizó un análisis comparativo entre estos y los algoritmos de handoff espectral más relevantes en la literatura actual. A diferencia de los trabajos relacionados, la evaluación comparativa se validó a través de una traza de datos reales de ocupación espectral capturados en la banda de frecuencia GSM y Wi-Fi, que modelan el comportamiento real de los usuarios primarios. En la fase de validación, se propusieron ocho escenarios de evaluación, al considerar, dos tipos de redes: GSM y Wi-Fi, dos clases de aplicaciones: tiempo-real y mejor-esfuerzo, dos niveles de tráfico: alto y bajo, y diez métricas de evaluación.
publishDate 2017
dc.date.created.none.fl_str_mv 2017-04
dc.date.accessioned.none.fl_str_mv 2023-11-30T21:34:54Z
dc.date.available.none.fl_str_mv 2023-11-30T21:34:54Z
dc.type.spa.fl_str_mv book
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2f33
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/book
dc.identifier.isbn.spa.fl_str_mv 978-958-5434-01-1
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/11349/33023
dc.identifier.editorial.spa.fl_str_mv Universidad Distrital Francisco José de Caldas. Centro de Investigaciones y Desarrollo Científico
identifier_str_mv 978-958-5434-01-1
Universidad Distrital Francisco José de Caldas. Centro de Investigaciones y Desarrollo Científico
url http://hdl.handle.net/11349/33023
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.ispartofseries.spa.fl_str_mv Espacios
dc.rights.*.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.spa.fl_str_mv pdf
institution Universidad Distrital Francisco José de Caldas
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spelling will be generated::orcid::0009-0008-1033-8714600will be generated::orcid::0000-0001-9983-45556002023-11-30T21:34:54Z2023-11-30T21:34:54Z2017-04978-958-5434-01-1http://hdl.handle.net/11349/33023Universidad Distrital Francisco José de Caldas. Centro de Investigaciones y Desarrollo CientíficoEl handoff espectral, en las redes de radio cognitiva, ocurre cuando el usuario secundario debe dejar el canal de frecuencia que está utilizando y continuar su comunicación en otra oportunidad espectral. Este proceso es un aspecto clave para garantizar una adecuada calidad de servicio y mejorar el desempeño en las comunicaciones del usuario secundario. Este libro de investigación tiene por objetivo presentar una propuesta de modelo adaptativo multivariable de handoff espectral para redes móviles de radio cognitiva. Para lo anterior, se desarrollaron tres algoritmos para la toma de decisiones durante un handoff espectral, con diferentes enfoques: difuso, realimentado y predictivo; estos conforman el modelo adaptativo multivariable de handoff espectral propuesto. Para evaluar el nivel de desempeño de los algoritmos desarrollados se realizó un análisis comparativo entre estos y los algoritmos de handoff espectral más relevantes en la literatura actual. A diferencia de los trabajos relacionados, la evaluación comparativa se validó a través de una traza de datos reales de ocupación espectral capturados en la banda de frecuencia GSM y Wi-Fi, que modelan el comportamiento real de los usuarios primarios. En la fase de validación, se propusieron ocho escenarios de evaluación, al considerar, dos tipos de redes: GSM y Wi-Fi, dos clases de aplicaciones: tiempo-real y mejor-esfuerzo, dos niveles de tráfico: alto y bajo, y diez métricas de evaluación.Spectral handoff, in cognitive radio networks, occurs when the secondary user must leave the frequency channel they are using and continue their communication at another spectral opportunity. This process is a key aspect to guarantee adequate quality of service and improve performance in secondary user communications. This research book aims to present a proposal for a multivariate adaptive spectral handoff model for mobile cognitive radio networks. For this purpose, three algorithms were developed for decision-making during a spectral handoff, with different approaches: fuzzy, feedback and predictive; These make up the proposed adaptive multivariate spectral handoff model. To evaluate the level of performance of the developed algorithms, a comparative analysis was carried out between them and the most relevant spectral handoff algorithms in current literature. Unlike related works, the benchmark was validated through a trace of real spectral occupancy data captured in the GSM and Wi-Fi frequency band, which models the real behavior of primary users. In the validation phase, eight evaluation scenarios were proposed, considering two types of networks: GSM and Wi-Fi, two classes of applications: real-time and best-effort, two traffic levels: high and low, and ten evaluation metrics.BogotápdfspaEspaciosAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Redes de radio cognitivaModelo adaptativo multivariableAlgoritmos de toma de decisionesMétricas de evaluaciónEspectro electromagnéticoEspectro radioeléctricoTelecomunicacionesAlgoritmosCognitive radio networksMultivariable adaptive modelDecision making algorithmsEvaluation MetricsModelo adaptativo multivariable de handoff espectral para incrementar el desempeño en redes móviles de radio cognitivaAdaptive multivariate spectral handoff model to increase performance in mobile cognitive radio networksbookinfo:eu-repo/semantics/bookhttp://purl.org/coar/resource_type/c_2f33Abbas, N., Nasser, Y., & Ahmad, K. 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BY3VlcmRvIDAyNiAgZGVsIDMxIGRlIGp1bGlvIGRlIDIwMTIgc29icmUgZWwgcHJvY2VkaW1pZW50byBwYXJhIGxhIHB1YmxpY2FjacOzbiBkZSB0ZXNpcyBkZSBwb3N0Z3JhZG8gZGUgbG9zIGVzdHVkaWFudGVzIGRlIGxhIFVuaXZlcnNpZGFkIERpc3RyaXRhbCBGcmFuY2lzY28gSm9zw6kgZGUgQ2FsZGFzLCAgQWN1ZXJkbyAwMzAgZGVsIDAzIGRlIGRpY2llbWJyZSBkZSAyMDEzIHBvciBtZWRpbyBkZWwgY3VhbCBzZSBjcmVhIGVsIFJlcG9zaXRvcmlvIEluc3RpdHVjaW9uYWwgZGUgbGEgVW5pdmVyc2lkYWQgRGlzdHJpdGFsIEZyYW5jaXNjbyBKb3PDqSBkZSBDYWxkYXMsIEFjdWVyZG8gMDM4IGRlIDIwMTUgMjAxNSDigJxwb3IgZWwgY3VhbCBzZSBtb2RpZmljYSBlbCBBY3VlcmRvIDAzMSBkZSAyMDE0IGRlIDIwMTQgcXVlIHJlZ2xhbWVudGEgZWwgdHJhYmFqbyBkZSBncmFkbyBwYXJhIGxvcyBlc3R1ZGlhbnRlcyBkZSBwcmVncmFkbyBkZSBsYSBVbml2ZXJzaWRhZCBEaXN0cml0YWwgRnJhbmNpc2NvIEpvc8OpIGRlIENhbGRhcyB5IHNlIGRpY3RhbiBvdHJhcyBkaXJlY3RyaWNlc+KAnSB5IGxhcyBkZW3DoXMgbm9ybWFzIGNvbmNvcmRhbnRlIHkgY29tcGxlbWVudGFyaWFzIHF1ZSByaWdlbiBhbCByZXNwZWN0bywgZXNwZWNpYWxtZW50ZSBsYSBsZXkgMjMgZGUgMTk4MiwgbGEgbGV5IDQ0IGRlIDE5OTMgeSBsYSBkZWNpc2nDs24gQW5kaW5hIDM1MSBkZSAxOTkzLiBFc3RvcyBkb2N1bWVudG9zIHBvZHLDoW4gc2VyIGNvbnN1bHRhZG9zIHkgZGVzY2FyZ2Fkb3MgZW4gZWwgcG9ydGFsIHdlYiBkZSBsYSBiaWJsaW90ZWNhIGh0dHA6Ly9zaXN0ZW1hZGViaWJsaW90ZWNhcy51ZGlzdHJpdGFsLmVkdS5jby8KCmspCUFjZXB0byhhbW9zKSBxdWUgTEEgVU5JVkVSU0lEQUQgbm8gc2UgcmVzcG9uc2FiaWxpemEgcG9yIGxhcyBpbmZyYWNjaW9uZXMgYSBsYSBwcm9waWVkYWQgaW50ZWxlY3R1YWwgbyBEZXJlY2hvcyBkZSBBdXRvciBjYXVzYWRhcyBwb3IgbG9zIHRpdHVsYXJlcyBkZSBsYSBwcmVzZW50ZSBMaWNlbmNpYSB5IGRlY2xhcmFtb3MgcXVlIG1hbnRlbmRyw6kgKGVtb3MpIGluZGVtbmUgYSBMQSBVTklWRVJTSURBRCBwb3IgbGFzIHJlY2xhbWFjaW9uZXMgbGVnYWxlcyBkZSBjdWFscXVpZXIgdGlwbyBxdWUgbGxlZ2FyZW4gYSBwcmVzZW50YXJzZSBwb3IgdmlvbGFjacOzbiBkZSBkZXJlY2hvcyBhIGxhIHByb3BpZWRhZCBpbnRlbGVjdHVhbCBvIGRlIEF1dG9yIHJlbGFjaW9uYWRvcyBjb24gbG9zIGRvY3VtZW50b3MgcmVnaXN0cmFkb3MgZW4gZWwgUklVRC4KCmwpCUVsIChsb3MpIGF1dG9yKGVzKSBtYW5pZmllc3RhKG1vcykgcXVlIGxhIG9icmEgb2JqZXRvIGRlIGxhIHByZXNlbnRlIGF1dG9yaXphY2nDs24gZXMgb3JpZ2luYWwsIGRlIGV4Y2x1c2l2YSBhdXRvcsOtYSwgeSBzZSByZWFsaXrDsyBzaW4gdmlvbGFyIG8gdXN1cnBhciBkZXJlY2hvcyBkZSBhdXRvciBkZSB0ZXJjZXJvczsgZGUgdGFsIHN1ZXJ0ZSwgZW4gY2FzbyBkZSBwcmVzZW50YXJzZSBjdWFscXVpZXIgcmVjbGFtYWNpw7NuIG8gYWNjacOzbiBwb3IgcGFydGUgZGUgdW4gdGVyY2VybyBlbiBjdWFudG8gYSBsb3MgZGVyZWNob3MgZGUgYXV0b3Igc29icmUgbGEgb2JyYSwgZWwgKGxvcykgZXN0dWRpYW50ZShzKSDigJMgYXV0b3IoZXMpIGFzdW1pcsOhKG4pIHRvZGEgbGEgcmVzcG9uc2FiaWxpZGFkIHkgc2FsZHLDoShuKSBlbiBkZWZlbnNhIGRlIGxvcyBkZXJlY2hvcyBhcXXDrSBhdXRvcml6YWRvcy4gUGFyYSB0b2RvcyBsb3MgZWZlY3RvcywgTEEgVU5JVkVSU0lEQUQgYWN0w7phIGNvbW8gdW4gdGVyY2VybyBkZSBidWVuYSBmZS4KCgptKQlFbCAobG9zKSBhdXRvcihlcykgbWFuaWZpZXN0YShtb3MpIHF1ZSBjb25vemNvKGNlbW9zKSBsYSBhdXRvbm9tw61hIHkgbG9zIGRlcmVjaG9zLCBxdWUgcG9zZWUobW9zKSBzb2JyZSBsYSBvYnJhIHksIGNvbW8gdGFsLCBlcyAoc29tb3MpIHJlc3BvbnNhYmxlKHMpIGRlbCBhbGNhbmNlIGp1csOtZGljbyB5IGxlZ2FsLCBkZSBlc2NvZ2VyIGxhIG9wY2nDs24gZGUgbGEgcHVibGljYWNpw7NuIG8gZGUgcmVzdHJpY2Npw7NuIGRlIGxhIHB1YmxpY2FjacOzbiBkZWwgZG9jdW1lbnRvIHJlZ2lzdHJhZG8gZW4gZWwgUklVRC4KCgoKCgoKU0kgRUwgRE9DVU1FTlRPIFNFIEJBU0EgRU4gVU4gVFJBQkFKTyBRVUUgSEEgU0lETyBQQVRST0NJTkFETyBPIEFQT1lBRE8gUE9SIFVOQSBBR0VOQ0lBIE8gVU5BIE9SR0FOSVpBQ0nDk04sIENPTiBFWENFUENJw5NOIERFIExBIFVOSVZFUlNJREFEIERJU1RSSVRBTCBGUkFOQ0lTQ08gSk9TRSBERSBDQUxEQVMsIExPUyBBVVRPUkVTIEdBUkFOVElaQU4gUVVFIFNFIEhBIENVTVBMSURPIENPTiBMT1MKREVSRUNIT1MgWSBPQkxJR0FDSU9ORVMgUkVRVUVSSURPUyBQT1IgRUwgUkVTUEVDVElWTyBDT05UUkFUTyBPIEFDVUVSRE8uCgoKCgoKCgoKCgoKCgoKCgoKCgoKCkVuIGNvbnN0YW5jaWEgZGUgbG8gYW50ZXJpb3IsIGZpcm1vKGFtb3MpIGVsIHByZXNlbnRlIGRvY3VtZW50bywgZW4gbGEgY2l1ZGFkIGRlIEJvZ290w6EsIEQuQy4sIGEgbG9zCgoKRklSTUEgREUgTE9TIFRJVFVMQVJFUyBERSBERVJFQ0hPUyBERSBBVVRPUgoKX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fICAgQy5DLiBOby4gX19fX19fX19fX19fX19fX19fCgpfX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX18gICBDLkMuIE5vLiBfX19fX19fX19fX19fX19fX18KCl9fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fXyAgIEMuQy4gTm8uIF9fX19fX19fX19fX19fX19fXwoKCgpDb3JyZW8gRWxlY3Ryw7NuaWNvIEluc3RpdHVjaW9uYWwgZGVsIChkZSBsb3MpIEF1dG9yKGVzKToKCkF1dG9yCSAgICAgIENvcnJlbyBFbGVjdHLDs25pY28KCjEKCjIKCjMKCk5vbWJyZSBkZSBEaXJlY3RvcihlcykgZGUgR3JhZG86CgoxCgoyCgozCgpOb21icmUgRmFjdWx0YWQgeSBQcm95ZWN0byBDdXJyaWN1bGFyOgoKRmFjdWx0YWQJUHJveWVjdG8gQ3VycmljdWxhcgoKCgoKCgoKCk5vdGE6IEVuIGNhc28gcXVlIG5vIGVzdMOpIGRlIGFjdWVyZG8gY29uIGxhcyBjb25kaWNpb25lcyBkZSBsYSBwcmVzZW50ZSBsaWNlbmNpYSwgeSBtYW5pZmllc3RlIGFsZ3VuYSByZXN0cmljY2nDs24gc29icmUgbGEgb2JyYSwganVzdGlmaXF1ZSBsb3MgbW90aXZvcyBwb3IgbG9zIGN1YWxlcyBlbCBkb2N1bWVudG8geSBzdXMgYW5leG9zIG5vIHB1ZWRlbiBzZXIgcHVibGljYWRvcyBlbiBlbCBSZXBvc2l0b3JpbyBJbnN0aXR1Y2lvbmFsIGRlIGxhIFVuaXZlcnNpZGFkIERpc3RyaXRhbCBGcmFuY2lzY28gSm9zw6kgZGUgQ2FsZGFzIFJJVUQuCgoKU2kgcmVxdWllcmUgbcOhcyBlc3BhY2lvLCBwdWVkZSBhbmV4YXIgdW5hIGNvcGlhIHNpbWlsYXIgYSBlc3RhIGhvamEK

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