Advertisement
Published in:
2015 | OriginalPaper | Chapter
Adaptive Quality of Experience: A Novel Approach to Real-Time Big Data Analysis in Core Networks
Authors : Alejandro Bascuñana, Manuel Lorenzo, Miguel-Ángel Monjas, Patricia Sánchez
Published in: New Trends in Databases and Information Systems
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Mobile networks are more and more a key element in how users access services. Users’ perception of access to services is difficult to be grasped and enhanced if degraded. Adaptive Quality of Experience (AQoE) aims to provide a comprehensive framework for predicting and preventing QoE degradation situations. This paper provides a high-level architectural model for managing communication service providers’ (CSP) mobile networks. AQoE relies on real-time big data analysis techniques to measure and anticipate QoE to allow CSP’s to perform actions to maintain a certain level of QoE. Thus, CSP’s can adapt users’ QoE dynamically and pro-actively in order to deal with service experience degradations in mobile networks.