Vehicular Environment Identification Based on Channel State Information and Deep Learning

Vehicular Environment Identification Based on Channel State Information and Deep Learning

This paper presents a novel vehicular environment identification approach based on deep learning. It consists of exploiting the vehicular wireless channel characteristics in the form of Channel State Information (CSI) in the receiver side of a connected vehicle in order to identify the environment t...

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Bibliographic Details
Main Authors: Soheyb Ribouh, Rahmad Sadli, Yassin Elhillali, Atika Rivenq, Abdenour Hadid
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
Vehicle-To-Everything (V2X) communications
channel state information
deep learning
vehicular network
autonomous vehicle
intelligent transportation systems
Online Access:https://www.mdpi.com/1424-8220/22/22/9018

Internet

https://www.mdpi.com/1424-8220/22/22/9018

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