Fog computing is a newly evolved network architecture that brings cloud computing benefit to the edge of the network. This structure is designed to solve the drawbacks of conventional cellular structure. Meanwhile, Artificial Intelligence (AI) applica...
Fog computing is a newly evolved network architecture that brings cloud computing benefit to the edge of the network. This structure is designed to solve the drawbacks of conventional cellular structure. Meanwhile, Artificial Intelligence (AI) applications are booming with the breakthroughs in deep learning (DL) models. Many iterative algorithm has been proposed to optimize the performance of fog radio access networks (FRANs), but cannot perform well in the live networks. To improve this, AI based optimization solution should be implemented. This paper discusses about;1) the prospective areas of fog computing where AI can be used; 2) existing challenges and future trends.