Beam-selection for 5g/b5g networks using machine learning: a comparative study

HIGHLIGHTS

• who: Efstratios Chatzoglou and Sotirios K. Goudos from the Department of Computer Science, Hellenic Open University, Aristotelous, Patra, Greece have published the research: Beam-Selection for 5G/B5G Networks Using Machine Learning: A Comparative Study, in the Journal: Sensors 2023, 23, 2967. of /2023/
• what: The authors provide an effective way to produce synthetic data for a common dataset found in the literature. The authors propose an ensemble learning composed of base shallow learners method to obtain more accurate results with low complexity. The authors show that an optimal beam pair can be obtained using . . .
  

   

  

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