Dynamic algorithm for interference mitigation between cells in networks operating in the 250 MHz band

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.date2022-10-25T21:07:08Z
dc.date2022-10-25T21:07:08Z
dc.date2022-03
dc.date.accessioned2023-09-28T19:56:11Z
dc.date.available2023-09-28T19:56:11Z
dc.identifierCARRILLO 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.
dc.identifierhttp://repositorio.ufla.br/jspui/handle/1/55339
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9040570
dc.descriptionThe 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.
dc.formatapplication/pdf
dc.languageen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsacesso aberto
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.sourceIEEE Access
dc.subjectInternet of Things
dc.subjectFrequency reuse
dc.subjectDeep reinforcement learning
dc.subjectCustomized cellular networks
dc.subjectBroadband communication
dc.subjectInternet das coisas
dc.subjectReutilização de frequência
dc.subjectAprendizagem por reforço profundo
dc.subjectBanda larga
dc.subjectAnálise de discurso
dc.titleDynamic algorithm for interference mitigation between cells in networks operating in the 250 MHz band
dc.typeArtigo


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