Selection of beamforming in 5G MIMO scenarios using machine learning approach (2022)
Silva, Douglas Henrique; Ribeiro, David Augusto; Arjona Ramírez, Miguel 
; Rosa, Renata Lopes ; Chaudhary, Sushank; Zegarra Rodriguez, Demóstenes
Source: ECTI-CON. Conference titles: 2022 International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology. Unidade: EP
Subjects: APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL, ALGORITMOS, REDES E COMUNICAÇÃO DE DADOS
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SILVA, Douglas Henrique et al. Selection of beamforming in 5G MIMO scenarios using machine learning approach. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/ECTI-CON54298.2022.9795421. Acesso em: 13 nov. 2024.APA
Silva, D. H., Ribeiro, D. A., Arjona Ramírez, M., Rosa, R. L., Chaudhary, S., & Zegarra Rodriguez, D. (2022). Selection of beamforming in 5G MIMO scenarios using machine learning approach. In ECTI-CON. Piscataway: IEEE. doi:10.1109/ECTI-CON54298.2022.9795421NLM
Silva DH, Ribeiro DA, Arjona Ramírez M, Rosa RL, Chaudhary S, Zegarra Rodriguez D. Selection of beamforming in 5G MIMO scenarios using machine learning approach [Internet]. ECTI-CON. 2022 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/ECTI-CON54298.2022.9795421Vancouver
Silva DH, Ribeiro DA, Arjona Ramírez M, Rosa RL, Chaudhary S, Zegarra Rodriguez D. Selection of beamforming in 5G MIMO scenarios using machine learning approach [Internet]. ECTI-CON. 2022 ;[citado 2024 nov. 13 ] Available from: https://doi.org/10.1109/ECTI-CON54298.2022.9795421
