Master Thesis: Neural Network Models in Radio Networks

Join our Team About this opportunity: As mobile networks are becoming increasingly complex, one way of increasing performance and making the mobile network more self-autonomous is to apply machine learning techniques. For example, machine learning can be used to predict signal strength for certain frequencies or cells given a position in the radio environment. In a radio access network, the hardware resources are limited, and it is important that the machine learning models utilize the available resources as efficiently as possible. This thesis will focus on training and evaluation of neural network models for coverage prediction. Prediction accuracy, memory and CPU usage for neural network models will be compared with decision tree models.…