Modeling of Key Quality Indicators for End-to-End Network Management: Preparing for 5G

Author:

Herrera-Garcia AnaORCID,Fortes Sergio,Baena EduardoORCID,Mendoza Jessica,Baena Carlos,Barco Raquel

Funder

Spanish Ministry of Economy and Competitiveness MINNECO through the Subprograma Estatal de Infraestructuras Cientificas y Tecnicas de Equipamiento 2013

Ministerio de Ciencia y Tecnología

Horizon 2020 ONE5G

Horizon 2020 MONROE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Automotive Engineering

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Comparative Analysis of MLR, SVR, and KNN for Improving Quality of Service in Next Generation Network via Machine Learning Regression;2024 13th Mediterranean Conference on Embedded Computing (MECO);2024-06-11

2. Evolution of Mobile Networks from 4G to 5G: Architectural Transformations New Services and Enhancement of Key Performance Indicators;Proceedings of the 7th International Conference on Networking, Intelligent Systems and Security;2024-04-18

3. ML-Powered KQI Estimation for XR Services: A Case Study on 360-Video;IEEE Open Journal of the Communications Society;2024

4. Using Deep-Learning for 5G End-to-End Delay Estimation Based on Gaussian Mixture Models;Information;2023-12-05

5. Estimation of 5G End-to-End Delay through Deep Learning based on Gaussian Mixture Models;2023 IEEE Conference on Standards for Communications and Networking (CSCN);2023-11-06

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