Democratic Wireless Channel Assignment: Fair Resource Allocation in Wi-Fi Networks

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Authors
Marsá Maestre, IvánUniversity of Alcalá Author; Giménez Guzmán, José ManuelUniversity of Alcalá Author; Tejedor Romero, MarinoUniversity of Alcalá Author; Hoz de la Hoz, Enrique de laUniversity of Alcalá Author; Murukannaiah, Pradeep
Identifiers
Permanent link (URI): http://hdl.handle.net/10017/63058
DOI: 10.1109/MIC.2022.3201454
ISSN: 1089-7801
Publisher
IEEE
Date
2023-02-14
Academic Departments
Universidad de Alcalá. Departamento de Automática
Universidad de Alcalá. Departamento de Física y Matemáticas
Funders
Agencia Estatal de Investigación
Junta de Comunidades de Castilla-La Mancha
Universidad de Alcalá
Bibliographic citation
Marsá Maestre, I. [et al.], 2023, "Democratic Wireless Channel Assignment: Fair Resource Allocation in Wi-Fi Networks", IEEE Internet Computing, vol. 27, no. 1, pp. 76-80.
Project
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104855RB-I00/ES/PLATAFORMA DE RESILIENCIA BASADA EN CLOUD PARA INFRAESTRUCTURAS DE TI SANITARIAS/
info:eu-repo/grantAgreement/JCCM//SBPLY%2F19%2F180501%2F000171
info:eu-repo/grantAgreement/UAH//CM-JIN-2019-031
info:eu-repo/grantAgreement/UAH//CM-JIN-2021-004
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/publishedVersion
Publisher's version
https://doi.org/10.1109/MIC.2022.3201454
Rights
Attribution 4.0 International (CC BY 4.0)
Access rights
info:eu-repo/semantics/openAccess
Abstract
User experience is the ultimate quality of service criterion for modern WLAN networks. However, network configuration approaches are mainly network-centric. We envision a paradigm shift, empowering users in network management. We study how automated negotiation and collective intelligence can support the democratic configuration of a wireless network, leveraging client and provider interests. This new paradigm allows for flexible network configuration, which enables better exploitation of resources considering the clients’ real usage and needs, and a fair distribution of throughput among users.

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Attribution 4.0 International (CC BY 4.0)
Este ítem está sujeto a una licencia Creative Commons.