A Generalized GNN-Transformer-Based Radio Link Failure Prediction Framework in 5G RAN
Radio Link Failure (RLF) prediction system in Radio Access Networks (RANs) is critical for ensuring seamless communication and meeting the stringent requirements of high data rates, low latency, and improved reliability in 5G networks. However, weather conditions such as precipitation, humidity, tem...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
IEEE
2025-01-01
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| Series: | IEEE Transactions on Machine Learning in Communications and Networking |
| Assuntos: | |
| Acceso en liña: | https://ieeexplore.ieee.org/document/11018489/ |
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