Spectral decision analysis and evaluation in an experimental environment for cognitive wireless networks

Dynamic spectrum allocation is the crucial aspect in Cognitive Radio Networks (CRN) to improve spectral efficiency where the selection of the target frequency channel plays a relevant role in the communication performance of the secondary user. Therefore, the current research work aims to analyze an...

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Autores principales:	Diego Armando Giral-Ramírez, César Augusto Hernández-Suarez, César Augusto García-Ubaque
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Characterization licensed users Cognitive radio network Decision making Quality of service Spectral handoff Spectral mobility Technology T
Acceso en línea:	https://doaj.org/article/1ba7dbad496d466a8566f9ae31e0f9d2
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spelling	oai:doaj.org-article:1ba7dbad496d466a8566f9ae31e0f9d22021-11-26T04:38:57ZSpectral decision analysis and evaluation in an experimental environment for cognitive wireless networks2590-123010.1016/j.rineng.2021.100309https://doaj.org/article/1ba7dbad496d466a8566f9ae31e0f9d22021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2590123021001109https://doaj.org/toc/2590-1230Dynamic spectrum allocation is the crucial aspect in Cognitive Radio Networks (CRN) to improve spectral efficiency where the selection of the target frequency channel plays a relevant role in the communication performance of the secondary user. Therefore, the current research work aims to analyze and comparatively evaluate three multi-criteria techniques in spectrum decision within an experimental environment. In order to achieve the above, it is incorporated actual information from licensed users through realistic spectral occupancy data measured in the GSM bands, the performance of the proposed methodology is validated through three multi-criteria decision-making techniques: Multiplicative Exponential Weighting (MEW), Simple Additive Weighting (SAW), and Multi-Criteria Optimization and Compromise Solution (VIKOR). The results obtained show the outstanding performance of the multicriteria algorithms in decision making and their application in cognitive radio networks, highlighting the high performance of the SAW algorithm in contrast to MEW and VIKOR. The contribution of this work is the use of actual spectral occupancy information captured through a spectral measurement campaign in Bogota, the use of three evaluation metrics in terms of handoff rate, bandwidth, and throughput, as well as a detailed analysis of the results obtained.Diego Armando Giral-RamírezCésar Augusto Hernández-SuarezCésar Augusto García-UbaqueElsevierarticleCharacterization licensed usersCognitive radio networkDecision makingQuality of serviceSpectral handoffSpectral mobilityTechnologyTENResults in Engineering, Vol 12, Iss , Pp 100309- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Characterization licensed users Cognitive radio network Decision making Quality of service Spectral handoff Spectral mobility Technology T
spellingShingle	Characterization licensed users Cognitive radio network Decision making Quality of service Spectral handoff Spectral mobility Technology T Diego Armando Giral-Ramírez César Augusto Hernández-Suarez César Augusto García-Ubaque Spectral decision analysis and evaluation in an experimental environment for cognitive wireless networks
description	Dynamic spectrum allocation is the crucial aspect in Cognitive Radio Networks (CRN) to improve spectral efficiency where the selection of the target frequency channel plays a relevant role in the communication performance of the secondary user. Therefore, the current research work aims to analyze and comparatively evaluate three multi-criteria techniques in spectrum decision within an experimental environment. In order to achieve the above, it is incorporated actual information from licensed users through realistic spectral occupancy data measured in the GSM bands, the performance of the proposed methodology is validated through three multi-criteria decision-making techniques: Multiplicative Exponential Weighting (MEW), Simple Additive Weighting (SAW), and Multi-Criteria Optimization and Compromise Solution (VIKOR). The results obtained show the outstanding performance of the multicriteria algorithms in decision making and their application in cognitive radio networks, highlighting the high performance of the SAW algorithm in contrast to MEW and VIKOR. The contribution of this work is the use of actual spectral occupancy information captured through a spectral measurement campaign in Bogota, the use of three evaluation metrics in terms of handoff rate, bandwidth, and throughput, as well as a detailed analysis of the results obtained.
format	article
author	Diego Armando Giral-Ramírez César Augusto Hernández-Suarez César Augusto García-Ubaque
author_facet	Diego Armando Giral-Ramírez César Augusto Hernández-Suarez César Augusto García-Ubaque
author_sort	Diego Armando Giral-Ramírez
title	Spectral decision analysis and evaluation in an experimental environment for cognitive wireless networks
title_short	Spectral decision analysis and evaluation in an experimental environment for cognitive wireless networks
title_full	Spectral decision analysis and evaluation in an experimental environment for cognitive wireless networks
title_fullStr	Spectral decision analysis and evaluation in an experimental environment for cognitive wireless networks
title_full_unstemmed	Spectral decision analysis and evaluation in an experimental environment for cognitive wireless networks
title_sort	spectral decision analysis and evaluation in an experimental environment for cognitive wireless networks
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/1ba7dbad496d466a8566f9ae31e0f9d2
work_keys_str_mv	AT diegoarmandogiralramirez spectraldecisionanalysisandevaluationinanexperimentalenvironmentforcognitivewirelessnetworks AT cesaraugustohernandezsuarez spectraldecisionanalysisandevaluationinanexperimentalenvironmentforcognitivewirelessnetworks AT cesaraugustogarciaubaque spectraldecisionanalysisandevaluationinanexperimentalenvironmentforcognitivewirelessnetworks
_version_	1718409825611677696

Spectral decision analysis and evaluation in an experimental environment for cognitive wireless networks

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