Selection of beamforming in 5G MIMO scenarios using machine learning approach (2022)
Fonte: ECTI-CON. Nome do evento: 2022 International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology. Unidade: EP
Assuntos: APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL, ALGORITMOS, REDES E COMUNICAÇÃO DE DADOS
ABNT
SILVA, Douglas Henrique et al. Selection of beamforming in 5G MIMO scenarios using machine learning approach. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://www.doi.org/10.1109/ECTI-CON54298.2022.9795421. Acesso em: 31 jul. 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 jul. 31 ] Available from: https://www.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 jul. 31 ] Available from: https://www.doi.org/10.1109/ECTI-CON54298.2022.9795421