Estimating Video Streaming QoE in the 5G Architecture Using Machine Learning-Reference-Cited by-同舟云学术

Estimating Video Streaming QoE in the 5G Architecture Using Machine Learning

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th Internet-QoE Workshop on QoE-based Analysis and Management of Data Communication Networks - Internet-QoE'19
language:
Short-container-title:

Author:

Schwarzmann Susanna¹,Cassales Marquezan Clarissa²,Bosk Marcin¹,Liu Huiran¹,Trivisonno Riccardo²,Zinner Thomas¹

Affiliation:

1. TU Berlin, Berlin, Germany

2. Huawei Technologies Germany, Munich, Germany

Funder

BMBF

Publisher

ACM Press

Reference24 articles.

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2. I. Alawe, A. Ksentini, Y. Hadjadj-Aoul, and P. Bertin. 2018. Improving traffic forecasting for 5G core network scalability: A Machine Learning approach. IEEE Network 32, 6 (2018), 42-49.

3. A. Angus, C. Murudkar, and R. Gitlin. 2019. Machine Learning for QoE Prediction and Anomaly Detection in Self-Organizing Mobile Networking Systems. International Journal of Wireless & Mobile Networks 11 (2019).

4. D. Basak, S. Pal, and D. Patranabis. 2007. Support vector regression. Neural Information Processing-Letters and Reviews 11, 10 (2007).

5. D. Bega, M. Gramaglia, M. Fiore, A. Banchs, and X. Costa-Perez. 2019. DeepCog: Cognitive Network Management in Sliced 5G Networks with Deep Learning. (2019).

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