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dc.contributor.author
Rossit, Diego Gabriel
dc.contributor.author
Luna, Francisco
dc.contributor.author
Galeano-Brajones, Jesús
dc.contributor.author
Carmona Murillo, Javier
dc.contributor.other
Rossit, Diego Gabriel
dc.contributor.other
Mustansar Hussain, Chaudhery
dc.date.available
2024-08-01T17:07:27Z
dc.date.issued
2024
dc.identifier.citation
Rossit, Diego Gabriel; Luna, Francisco; Galeano-Brajones, Jesús; Carmona Murillo, Javier; A bi-objective mixed integer non-linear programming model for the cell switch-off problem considering quality of service and energy consumption; Elsevier; 2024; 253-266
dc.identifier.isbn
9780443216510
dc.identifier.uri
http://hdl.handle.net/11336/241514
dc.description.abstract
In an increasingly interconnected world, there is an emerging demand for new applications and services from wireless networks that are therefore under continuous technological developments to cope with them. One of the enabling technologies for the next generations of these networks (5G/6G) lies in deploying a high number of base stations in the working area, which leads to what is known as ultra-dense networks. This densification allows for enhanced network performance (data rates, latency, etc.), but it also induces a notable increase in the energy consumption of the entire system. One of the pivotal strategies to reduce such a consumption is to switch off cells in periods of low traffic demand. This decision problem is formulated as an optimization problem known as Cell Switch Off (CSO). In this context, this work introduces a bi-objective mixed integer non-linear programming model to address the CSO problem. The primary objectives of this model are twofold: to ensure a high-quality service for end-users and to minimize energy consumption within the network infrastructure. The model was tested in a preliminary computational experimentation over realistic instances allowing to explore the trade-off among the different objectives.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
TELECOMMUNICATIONS NETWORKS
dc.subject
CELL-SWITCH OFF PROBLEM
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MIXED-INTEGER NON-LINEAR PROGRAMMING
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ENERGY EFFICIENCY
dc.subject.classification
Otras Ingenierías y Tecnologías
dc.subject.classification
Otras Ingenierías y Tecnologías
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
A bi-objective mixed integer non-linear programming model for the cell switch-off problem considering quality of service and energy consumption
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/bookPart
dc.type
info:ar-repo/semantics/parte de libro
dc.date.updated
2024-07-02T14:17:26Z
dc.journal.pagination
253-266
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina
dc.description.fil
Fil: Luna, Francisco. Universidad de Málaga. Departamento Lenguajes y Ciencias de la Computación; España
dc.description.fil
Fil: Galeano-Brajones, Jesús. Universidad de Extremadura. Departamento de Ingeniería de Sistemas Informáticos y Telemáticos; España
dc.description.fil
Fil: Carmona Murillo, Javier. Universidad de Extremadura. Departamento de Ingeniería de Sistemas Informáticos y Telemáticos; España
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/B978-0-443-21651-0.00010-3
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/B9780443216510000103?via%3Dihub
dc.conicet.paginas
286
dc.source.titulo
Evolution and Trends of Sustainable Approaches
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