Machine Learning at the Edge: A Data-Driven Architecture With Applications to 5G Cellular Networks
Machine Learning at the Edge: A Data-Driven Architecture With Applications to 5G Cellular Networks
The fifth generation of cellular networks (5G) will rely on edge cloud deployments to satisfy the ultra-low latency demand of future applications. In this paper, we argue that such deployments can also be used to enable advanced data-driven and Machine Learning (ML) applications in mobile networks. We propose an edge-controller-based …