Deep Learning for Joint Adaptations of Transmission Rate and Payload Length in Vehicular Networks

Recently, vehicular networks have emerged to facilitate intelligent transportation systems (ITS). They enable vehicles to communicate with each other in order to provide various services such as traffic safety, autonomous driving, and entertainments. The vehicle-to-vehicle (V2V) communication channe...

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Detalles Bibliográficos
Autores principales: Elwekeil, Mohamed, Wang, Taotao, Zhang, Shengli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427627/
https://www.ncbi.nlm.nih.gov/pubmed/30841569
http://dx.doi.org/10.3390/s19051113

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427627/
https://www.ncbi.nlm.nih.gov/pubmed/30841569
http://dx.doi.org/10.3390/s19051113

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