Poster: A Simple Deep Learning Based V2X Channel Estimation Scheme Using Denoising Autoencoder

To implement the V2X systems, reliable channel estimation is a major critical challenge due to the rapid time-varying characteristic of the vehicular channels. In this recent result paper, we propose a denoising autoencoder (DAE) based channel estimation scheme. The proposed scheme has a simple neur...

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Bibliographic Details

Published in:	IEEE Vehicular Networking Conference pp. 281 - 282
Main Authors:	Oh, Kang-Hyun, Kim, Chang Hyun, Lim, Sungmook, Song, Changick
Format:	Conference Proceeding
Language:	English
Published:	IEEE 29.05.2024
Subjects:	Channel estimation DAE Deep learning Neural networks Noise Noise reduction Simulation Training V2X
ISSN:	2157-9865
Online Access:	Get full text
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