Artificial Inteligence applications in 5G networks

This project presents an analysis on one application of Artificial Intelligent in 5G networks. It analyzes how slicing can be improved using Deep Learning through the creation of two different systems. The first system is a Predictor, that predicts the number of packets that will arrive at every slice. Then an Adapter will modify the resources given to each slice in order to minimize the number of lost packets. During the process of the project both systems are characterized and analyzed with the help of a simulator that simulates users that send packets to a base stations