Deductive learning in wireless mobile networks using QoE-driven data analysis
Author:
Prakash E.,Sangeetha M.
Reference27 articles.
1. Chetana V. Murudkar and Richard D. Gitlin, QoE-driven Anomaly Detection in Self-Organizing Mobile Networks using Machine Learning, 978-1-5386-8380-4/19, ©2019 IEEE
2. Paulo Valente Klaine, Muhammad Ali Imran, Oluwakayode Onireti, Richard Demo Souza, “A Survey of Machine Learning Techniques Applied to Self-Organizing Cellular Networks,” IEEE Communications Surveys & Tutorials, volume: 19, issue: 4, 2017.
3. ITU-T Recommendation P.10/G.100 Amendment 2, “Vocabulary for performance and quality of service,” July 2008.
4. Quality of experience management in mobile cellular networks: key issues and design challenges
5. Eirini Liotou, Dimitris Tsolkas, Nikos Passas, Lazaros Merakos, “A Roadmap on QoE Metrics and Models,” 23rd International Conference on Telecommunications (ICT), 2016.