Performance Analysis in 5G networks

5G mobile networks are expected to provide services that require low latency, high data rate, and massive connectivity. In this context, being able to analyze and possibly predict the performance experienced by end users (e.g., in terms of latency, throughput, and connection reliability) is essential for traffic management and network optimization. By leveraging measurements performed on real networks, this thesis work will focus on the development and testing of techniques for reliable prediction of network/user performance, potentially applying machine and deep learning techniques.