RT Conference Proceedings
T1 UE side Application Layer metrics  For QoE-based Network Management.
A1 Tarrías Muñoz, Antonio
A1 Moreno Sancho, Alejandro Antonio
A1 Baena-Martínez, Eduardo
A1 Barco-Moreno, Raquel
A1 Fortes-Rodríguez, Sergio
A1 Pareja Peña, Francisco Javier
K1 Sistemas de comunicaciones móviles
K1 Telecomunicaciones
AB Cellular networks are being improved by the automation of management tasks in order to optimize the performance while improving the efficiency. This is based on the vast amount of data which is available from the network side. Nonetheless, the network side perspective is limited and the focus is being redirected to the user side. Here, Drive Tests are in charge of collecting useful information, but at high costs. Thus, the present work presents a key source of information regarding network management: user side application layer metrics. In this regard, this work exploits this user side data by using different techniques to estimate the users’ quality of experience with the aim of network management.
YR 2023
FD 2023
LK https://hdl.handle.net/10630/27119
UL https://hdl.handle.net/10630/27119
LA eng
NO This work was supported by the project MUSE (Massive User Experience Assessment and Prediction for Mobile Networks) - Ref. UMA-CEIATECH-15, and the Spanish Ministry of economic affairs and Digital Transformation and European Union - NextGenerationEU within the framework “Recuperación, Transformación y Resiliencia y el Mecanismo de Recuperación y Resiliencia” - project MAORI, and Univer- sidad de Málaga through the “II Plan Propio de Investigación, Transferencia y Divulgación Científica” This work was possible thanks to the partnership with Metricell Limited to provide a very large dataset of anonymized metrics from real cellular network users. This work has been also funded by: Spanish Ministry of Universities - Ref. FPU20/02863.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026