Quality of Service and Experience (QoS/QoE) in Beyond-5G Networks: A Data-Driven Evaluation

The main objective of this thesis is to perform a data-driven evaluation and analysis of the QoS/QoE performance achievable by beyond-eMBB services on 5G networks. Towards this goal, you will: (a) adopt a methodology, recently standardized by the
International Telecommunication Union Telecommunication Standardization Sector (ITU-T), that targets systematic performance evaluations of beyond-eMBB services and relies on the definition of a QoE KPI referred to as interactivity score (i-score); (b) perform a multi-service measurement campaign in the 5G KAU testbed, using advanced measurement tools and considering different scenarios (e.g., user mobility, connection capability, and server location); (c) analyze the collected dataset, and (d) possibly use of ML/AI towards i-score prediction.