Browsing by Author "DeAlmeida, Jonathan M."
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- AI-driven F-RANs: Integrating Decision Making Considering Different Time GranularitiesDeAlmeida, Jonathan M.; DaSilva, Luiz A.; Both, Cristiano Bonato; Ralha, Celia G.; Marotta, Marcelo A. (IEEE, 2021-06-07)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 and reduce the 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. We discuss the benefits and challenges of implementing an AI-driven F-RAN considering different timescales, highlighting key Machine Learning (ML) techniques for each granularity. Finally, we discuss the challenges and opportunities to integrate different ML solutions in F-RANs.