Latency Prediction in 5G Networks by using Machine Learning
This thesis presents a report of predicting latency in a 5G network by using deep learning techniques. The training set contained data of network parameters along with the actual latency, collected in a 5G lab environment during four different test scenarios. We trained four different machine learning models, including Forward Neural Network (FNN), Convolutional Neural Network (CNN), Recurrent Neu