Cargando…
Deep Reinforcement Learning for Edge Caching with Mobility Prediction in Vehicular Networks
As vehicles are connected to the Internet, various services can be provided to users. However, if the requests of vehicle users are concentrated on the remote server, the transmission delay increases, and there is a high possibility that the delay constraint cannot be satisfied. To solve this proble...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920978/ https://www.ncbi.nlm.nih.gov/pubmed/36772771 http://dx.doi.org/10.3390/s23031732 |