Machine Learning-Based Air-to-Ground Channel Model Selection Method for UAV Communications Using Digital Surface Model Data

Machine Learning-Based Air-to-Ground Channel Model Selection Method for UAV Communications Using Digital Surface Model Data

This paper proposes an automatic air-to-ground (A2G) channel model selection method based on machine learning (ML) using digital surface model (DSM) terrain data. In order to verify whether a communication network for a new non-terrestrial user service such as Urban Air Mobility (UAM) satisfies the...

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Bibliographic Details
Main Authors: Young-Eun Kang, Young-Ho Jung
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
channel model selection
UAV communication
machine learning
air-to-ground (A2G) channel model
UAM
digital surface model
Online Access:https://www.mdpi.com/1424-8220/22/23/9234

Internet

https://www.mdpi.com/1424-8220/22/23/9234

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