Machine Learning Approaches for Radio Propagation Modeling in Urban Vehicular Channels

Machine Learning Approaches for Radio Propagation Modeling in Urban Vehicular Channels

The use of vehicular communications is anticipated to improve safety in road traffic. The traditional radio channel models that describe the effects of radio wave propagation in dynamic vehicular environments have their own limitations. In this paper, machine learning (ML) techniques are applied for...

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Bibliographic Details
Main Authors: Khalil Ahmad, Sajjad Hussain
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Vehicular channel modeling
machine learning
ray tracing
multi-layer perceptron
convolutional neural network
random forest
Online Access:https://ieeexplore.ieee.org/document/9933738/

Internet

https://ieeexplore.ieee.org/document/9933738/

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