Wireless Channel Prediction Using Artificial Intelligence With Imperfect Datasets
This paper presents the study of machine learning (ML) algorithms for the prediction of vehicular channels under impairments that arise in realistic implementations. Emerging vehicular applications will operate in complex settings with potentially abrupt and quick propagation changes. These features...
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| Main Authors: | Gowhar Javanmardi, Ramiro Samano Robles |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Open Journal of the Communications Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10973311/ |
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