Artificial Intelligence-Driven Fog Radio Access Networks: Integrating Decision Making Considering Different Time Granularities
Jonathan M. DeAlmeida, Luiz A. DaSilva, Cristiano Bonato Both, Célia Ghedini Ralha, Marcelo A. Marotta · IEEE Vehicular Technology Magazine · 2021
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.