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IEEE 802.11 graph models

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IEEE 802.11 graph models

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dc.contributor.author Gimenez-Guzman, Jose Manuel es_ES
dc.contributor.author Marsa-Maestre, Ivan es_ES
dc.contributor.author Cruz-Piris, Luis es_ES
dc.contributor.author Orden, David es_ES
dc.contributor.author Tejedor-Romero, Marino es_ES
dc.date.accessioned 2024-06-10T18:23:37Z
dc.date.available 2024-06-10T18:23:37Z
dc.date.issued 2023-03-01 es_ES
dc.identifier.issn 1110-0168 es_ES
dc.identifier.uri http://hdl.handle.net/10251/204932
dc.description.abstract [EN] There are several recent research lines addressing Wi-Fi network planning and optimiza-tion, both in terms of channel assignment and access point deployment. The problem with these works is that evaluation is usually performed with specific and closed models regarding signal prop-agation, throughput computation, and utility definition. Also, many of the models in the literature make assumptions about the role of wireless stations, or the co-channel interference, which-while being valid in the context of a single research work-makes very difficult to compare different approaches, to re-use concepts from previous mechanisms to create new ones, or to generalize mechanisms to other scenarios. This makes the different research lines in Wi-Fi network planning and optimization progress in an isolated manner.This paper aims to address such a recurring problem by proposing a graph-based generic model for Wi-Fi utility computation in network planning scenarios, as well as providing a collection of scenario graphs which may be used to benchmark different planning and optimization approaches. Experiments are conducted to show the validity of the model and the significance of its features, along with its extensibility to other scenarios. es_ES
dc.description.sponsorship This work has been partially funded by Projects PID2019-10 4855RB-I00/AEI/10.13039/501100011033 and PID2019-10412 9GB-I00/AEI/10.13039/501100011033, by Project SBPLY/19/180501/000171 of the Junta de Comunidades de Castilla-La Mancha and FEDER, by Projects UCeNet (CM/JIN/2019-031) and WiDAI (CM/JIN/2021-004) of the Comunidad de Madrid and University of Alcala, and by H2020-MSCA-RISE project 734922 - CONNECT. The publication is also part of project TED2021-131387B-I00 funded by MCIN/AEI/10.13039/501100011033 and by the European Union "NextGenerationEU"/PRTR and of project PID2021-123168NB-I00 funded by MCIN/AEI/10.13039/50110001103 3/FEDER, UE. es_ES
dc.language Inglés es_ES
dc.publisher Alexandria University es_ES
dc.relation.ispartof Alexandria Engineering Journal es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Wi-Fi networks es_ES
dc.subject Graphs es_ES
dc.subject Network modeling es_ES
dc.subject.classification INGENIERÍA TELEMÁTICA es_ES
dc.title IEEE 802.11 graph models es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.aej.2022.12.016 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104129GB-I00/ES/TEORIA Y APLICACIONES DE CONFIGURACIONES DE PUNTOS Y REDES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123168NB-I00/ES/EVOLUCION DE LA RED DE ACCESO RADIO HACIA 6G PARA SERVICIOS MASIVOS Y DE BAJA LATENCIA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/734922/EU/Combinatorics of Networks and Computation/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//TED2021-131387B-I00//REDES VERDES: HACIA REDES 6G RESPETUOSAS CON EL MEDIO AMBIENTE/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/CAM//CM%2FJIN%2F2019-031//UCeNet/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/CAM//CM%2FJIN%2F2021-004/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ERC//734922/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/JCCM//SBPLY%2F19%2F180501%2F000171/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//PID2019-104855RB-I00//Plataforma de resiliencia basada en cloud para infraestructuras TI sanitarias/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//PID2019-104129GB/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//PID2021-123168NB-I00//Evolución de la red de acceso radio hacia 6G para servicios masivos y de baja latencia/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació es_ES
dc.description.bibliographicCitation Gimenez-Guzman, JM.; Marsa-Maestre, I.; Cruz-Piris, L.; Orden, D.; Tejedor-Romero, M. (2023). IEEE 802.11 graph models. Alexandria Engineering Journal. 66:633-649. https://doi.org/10.1016/j.aej.2022.12.016 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.aej.2022.12.016 es_ES
dc.description.upvformatpinicio 633 es_ES
dc.description.upvformatpfin 649 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 66 es_ES
dc.relation.pasarela S\489922 es_ES
dc.contributor.funder Comunidad de Madrid es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder European Research Council es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Junta de Comunidades de Castilla-La Mancha es_ES


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