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dc.contributor.advisorGómez, Arthur Tórgo
dc.contributor.authorVieira, Deborah Luisa Detânico
dc.date.accessioned2018-04-12T13:49:50Z
dc.date.accessioned2022-09-22T19:28:44Z
dc.date.available2018-04-12T13:49:50Z
dc.date.available2022-09-22T19:28:44Z
dc.date.issued2017-05-17
dc.identifier.urihttps://hdl.handle.net/20.500.12032/61351
dc.description.abstractWith the constantly demand of voice services and mostly in mobile data, there was the need the development of the mobile services of fourth generation (4G). The pattern Long Term Evolution, developed by the Third Generation Partnership Project (3GPP) was chosen by the International Telecommunications Union (ITU) as technology to attend the requirements of the fourth generation of mobile services. For the mobile operators introduce and apply this new generation in their own existing networks, they need to do an extensive research and planning, even if, in practical means, it is applied using the empirical way. The network planning problem is widely known and studied in computing area as set-covering problem ans classified as NPhard. Due the unique characteristics of network architecture of LTE, this work aims to solve the mobile’s fourth generation planning problem using a mathematics modelling apply to a hybrid metaheuristics, composed with Genetic Algorithm and Tabu Search. It aims solve the coverage problem of a specific region, covering the largest area possible with the fewest number of Base Sations (BS) possible, seeking the best compliance and cost reduction of the LTE network deployment.en
dc.description.sponsorshipNenhumapt_BR
dc.languagept_BRpt_BR
dc.publisherUniversidade do Vale do Rio dos Sinospt_BR
dc.rightsopenAccesspt_BR
dc.subjectMetaheurísticaspt_BR
dc.subjectMetaheuristicsen
dc.titlePlanejamento da cobertura de redes móveis de quarta geração através de metaheurística híbridapt_BR
dc.typeDissertaçãopt_BR


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