Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/55339
Registro completo de metadados
Campo DCValorIdioma
dc.creatorCarrillo Melgarejo, Dick-
dc.creatorCosta Filho, Luiz Quirino Rezende da-
dc.creatorMedeiros, Álvaro Augusto Machado de-
dc.creatorLorena Neto, Carlos-
dc.creatorFigueiredo, Fabricio Lira-
dc.creatorZegarra Rodríguez, Demóstenes-
dc.date.accessioned2022-10-25T21:07:08Z-
dc.date.available2022-10-25T21:07:08Z-
dc.date.issued2022-03-
dc.identifier.citationCARRILLO MELGAREJO, D. et al. Dynamic Algorithm for Interference Mitigation Between Cells in Networks Operating in the 250 MHz Band. IEEE Access, [S. I.], v. 10, p. 2169-3536, 2022. DOI: 10.1109/ACCESS.2022.3162618.pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/55339-
dc.description.abstractThe growing demand for Internet of Things (IoT) applications in agribusiness increases the necessity of reliable and secure connectivity in rural areas. Thus, in the particular case of Brazil, some initiatives aim to take advantage of frequency bands dedicated to limited private services. For instance, cellular networks based on orthogonal frequency-division multiple access (OFDMA) in 250 MHz bands require specialized adaptations because the interference between cells increases when these systems operate in the Very High Frequency (VHF) band. This work presents an analysis based on a reliable simulation of interference mitigation in OFDMA systems at 250 MHz using a network simulator. The simulator is calibrated with data obtained in the field by an extensive and rigorous drive test. Therefore, the analysis is based on a comparison of traditional frequency reuse schemes with a machine learning approach based on deep reinforcement learning (DRL) to reduce inter-cell interference. The numerical results indicate that the DRL approach outperforms the traditional frequency reuse (FR) schemes in four different typical agribusiness scenarios.pt_BR
dc.languageen_USpt_BR
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)pt_BR
dc.rightsacesso abertopt_BR
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceIEEE Accesspt_BR
dc.subjectInternet of Thingspt_BR
dc.subjectFrequency reusept_BR
dc.subjectDeep reinforcement learningpt_BR
dc.subjectCustomized cellular networkspt_BR
dc.subjectBroadband communicationpt_BR
dc.subjectInternet das coisaspt_BR
dc.subjectReutilização de frequênciapt_BR
dc.subjectAprendizagem por reforço profundopt_BR
dc.subjectBanda largapt_BR
dc.subjectAnálise de discursopt_BR
dc.titleDynamic algorithm for interference mitigation between cells in networks operating in the 250 MHz bandpt_BR
dc.typeArtigopt_BR
Aparece nas coleções:DCC - Artigos publicados em periódicos

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
ARTIGO_Dynamic Algorithm for Interference Mitigation Between Cells in Networks Operating in the 250 MHz Band.pdf1,49 MBAdobe PDFVisualizar/Abrir


Este item está licenciada sob uma Licença Creative Commons Creative Commons

Ferramentas do administrador