Improved Multiobjective Optimization for Cellular Base Stations Positioning

Detalhes bibliográficos
Autor(a) principal: Lopes,Ramz L. Fraiha
Data de Publicação: 2021
Outros Autores: Gomes,Igor R., Gomes,Cristiane R., Gomes,Herminio S., Cavalcante,Gervásio P. S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of Microwaves. Optoelectronics and Electromagnetic Applications
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742021000400870
Resumo: Abstract This work presents improvements to a telecommunication service planning tool for optimal positioning of base stations presented in a previous work. The tool uses a propagation loss model based on the K-Nearest Neighborhoods classifier since its conception. The original objective of this tool is to optimize the positioning of transmitting towers in the frequencies of 2.1 GHz and 2.6 GHz in a given environment, maximizing the coverage area. The improvement proposed in this article includes the optimization of the positioning of the towers in order to meet the maximum coverage, prioritizing the locations considered most important. The studied scenario is the campus of the Federal University of Pará, with characteristics similar to some cities in the Amazon region. The analysis of the results was made by comparing the power data received from the measurement campaigns with the coverage estimates obtained with the improved tool. The improved methodology showed better results than those from the previous study, both in the positioning of the antennas and in the time spent. We obtained a reduction of up to 72% in the time to calculate the optimal solution compared to the original study.
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spelling Improved Multiobjective Optimization for Cellular Base Stations PositioningOptimizationRadiopropagation ModelsRadio Base StationTelecommunicationsAbstract This work presents improvements to a telecommunication service planning tool for optimal positioning of base stations presented in a previous work. The tool uses a propagation loss model based on the K-Nearest Neighborhoods classifier since its conception. The original objective of this tool is to optimize the positioning of transmitting towers in the frequencies of 2.1 GHz and 2.6 GHz in a given environment, maximizing the coverage area. The improvement proposed in this article includes the optimization of the positioning of the towers in order to meet the maximum coverage, prioritizing the locations considered most important. The studied scenario is the campus of the Federal University of Pará, with characteristics similar to some cities in the Amazon region. The analysis of the results was made by comparing the power data received from the measurement campaigns with the coverage estimates obtained with the improved tool. The improved methodology showed better results than those from the previous study, both in the positioning of the antennas and in the time spent. We obtained a reduction of up to 72% in the time to calculate the optimal solution compared to the original study.Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo2021-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742021000400870Journal of Microwaves, Optoelectronics and Electromagnetic Applications v.20 n.4 2021reponame:Journal of Microwaves. Optoelectronics and Electromagnetic Applicationsinstname:Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)instacron:SBMO10.1590/2179-0742021v20i41309info:eu-repo/semantics/openAccessLopes,Ramz L. FraihaGomes,Igor R.Gomes,Cristiane R.Gomes,Herminio S.Cavalcante,Gervásio P. S.eng2021-11-11T00:00:00Zoai:scielo:S2179-10742021000400870Revistahttp://www.jmoe.org/index.php/jmoe/indexONGhttps://old.scielo.br/oai/scielo-oai.php||editor_jmoe@sbmo.org.br2179-10742179-1074opendoar:2021-11-11T00:00Journal of Microwaves. Optoelectronics and Electromagnetic Applications - Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)false
dc.title.none.fl_str_mv Improved Multiobjective Optimization for Cellular Base Stations Positioning
title Improved Multiobjective Optimization for Cellular Base Stations Positioning
spellingShingle Improved Multiobjective Optimization for Cellular Base Stations Positioning
Lopes,Ramz L. Fraiha
Optimization
Radiopropagation Models
Radio Base Station
Telecommunications
title_short Improved Multiobjective Optimization for Cellular Base Stations Positioning
title_full Improved Multiobjective Optimization for Cellular Base Stations Positioning
title_fullStr Improved Multiobjective Optimization for Cellular Base Stations Positioning
title_full_unstemmed Improved Multiobjective Optimization for Cellular Base Stations Positioning
title_sort Improved Multiobjective Optimization for Cellular Base Stations Positioning
author Lopes,Ramz L. Fraiha
author_facet Lopes,Ramz L. Fraiha
Gomes,Igor R.
Gomes,Cristiane R.
Gomes,Herminio S.
Cavalcante,Gervásio P. S.
author_role author
author2 Gomes,Igor R.
Gomes,Cristiane R.
Gomes,Herminio S.
Cavalcante,Gervásio P. S.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Lopes,Ramz L. Fraiha
Gomes,Igor R.
Gomes,Cristiane R.
Gomes,Herminio S.
Cavalcante,Gervásio P. S.
dc.subject.por.fl_str_mv Optimization
Radiopropagation Models
Radio Base Station
Telecommunications
topic Optimization
Radiopropagation Models
Radio Base Station
Telecommunications
description Abstract This work presents improvements to a telecommunication service planning tool for optimal positioning of base stations presented in a previous work. The tool uses a propagation loss model based on the K-Nearest Neighborhoods classifier since its conception. The original objective of this tool is to optimize the positioning of transmitting towers in the frequencies of 2.1 GHz and 2.6 GHz in a given environment, maximizing the coverage area. The improvement proposed in this article includes the optimization of the positioning of the towers in order to meet the maximum coverage, prioritizing the locations considered most important. The studied scenario is the campus of the Federal University of Pará, with characteristics similar to some cities in the Amazon region. The analysis of the results was made by comparing the power data received from the measurement campaigns with the coverage estimates obtained with the improved tool. The improved methodology showed better results than those from the previous study, both in the positioning of the antennas and in the time spent. We obtained a reduction of up to 72% in the time to calculate the optimal solution compared to the original study.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-10742021000400870
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2179-0742021v20i41309
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo
publisher.none.fl_str_mv Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo
dc.source.none.fl_str_mv Journal of Microwaves, Optoelectronics and Electromagnetic Applications v.20 n.4 2021
reponame:Journal of Microwaves. Optoelectronics and Electromagnetic Applications
instname:Sociedade Brasileira de Microondas e Optoeletrônica (SBMO)
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reponame_str Journal of Microwaves. Optoelectronics and Electromagnetic Applications
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