| Autor: |
DeAlmeida, Jonathan M., DaSilva, Luiz, Bonato Both, Cristiano Bonato, G. Ralha, Celia, Marotta, Marcelo A. |
| Zdroj: |
IEEE Vehicular Technology Magazine; Sep2021, Vol. 16 Issue 3, p137-148, 12p |
| Abstrakt: |
Cloud- and fog-based networks are promising paradigms for vehicular and mobile networks. Fog radio access networks (F-RANs), in particular, can offload computation tasks to the network edge (i.e., in the fog) and reduce latency. Artificial intelligence (AI) techniques can be used in F-RANs to achieve, for example, enhanced energy efficiency and increased throughput. Nonetheless, the appropriate technique selection must consider the different time granularities at which decision making occurs in F-RANs. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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