RT Journal Article
T1 Big Data Analytics for Automated QoE Management in Mobile Networks
A1 García, Antonio J.
A1 Toril-Genovés, Matías
A1 Oliver, Pablo
A1 Luna-Ramírez, Salvador
A1 García-Escobar, Rafael
K1 Sistemas de comunicaciones inalámbricos
AB Over the last years, there has been a significant increase in the number of services in mobile networks. This trend has forced operators to change their network management processes to ensure adequate user QoE, instead of adequate QoS.As a result, customer experience management is now a critical task for mobile network operators, who demand tools for QoE monitoring on an individual user basis. With the latest advances in information technologies, the newest TMA solutions can leverage the huge amount of information available from network elements and interfaces in mobile networks. However, data processing algorithms in these tools are still to be defined. In this work, we review the shortcomings and challenges in the use of TMA applications in mobile networks, and how these can be empowered by big data analytics. For this purpose, a methodology tovalidate a generic big-data-driven TMA framework with user terminal agents in a real cellular network is outlined. A use case is presented to show the potential and limitations of these applications for monitoring end-user QoE in a live LTE network.
PB IEEE
YR 2019
FD 2019-08-01
LK https://hdl.handle.net/10630/30217
UL https://hdl.handle.net/10630/30217
LA spa
NO A. J. Garcia, M. Toril, P. Oliver, S. Luna-Ramirez and R. Garcia, "Big Data Analytics for Automated QoE Management in Mobile Networks," in IEEE Communications Magazine, vol. 57, no. 8, pp. 91-97, August 2019, doi: 10.1109/MCOM.2019.1800374
NO Spanish Ministry of Economy and Competitiveness (TEC2015-69982-R) and Ericsson Spain.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026