Machine learning-based air-to-ground channel model selection method for uav communications using digital surface model data

HIGHLIGHTS

• who: Young-Eun Kang and Young-Ho Jung from the School of Electronics and Information Engineering, Korea Aerospace University, Goyang, Republic of Korea have published the paper: Machine Learning-Based Air-to-Ground Channel Model Selection Method for UAV Communications Using Digital Surface Model Data, in the Journal: Sensors 2022, 9234 of /2022/
• what: The research and industrialization of wireless communication for the past decades have mainly focused on providing a communication link for users on the ground with high speed and reliability. The authors propose a two-step neural_network (NN) method in which the . . .
  

   

  

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