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Approximate reinforcement learning to control beaconing congestion in distributed networks
In vehicular communications, the increase of the channel load caused by excessive periodical messages (beacons) is an important aspect which must be controlled to ensure the appropriate operation of safety applications and driver-assistance systems. To date, the majority of congestion control soluti...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741791/ https://www.ncbi.nlm.nih.gov/pubmed/34997101 http://dx.doi.org/10.1038/s41598-021-04123-9 |