Jun 2, 2022 · We perform a simulation-based feasibility study which evaluates the estimation accuracy of different state-of-the-art regression techniques.
We discuss the relevant research questions for introducing ML-based QoE estimation into the network from the viewpoint of an MNO and perform a simulation-based ...
In the scope of this study, we analyze the performance of a representative set of five different regression techniques, ranging from simple linear models to ...
ML-Based QoE Estimation in 5G Networks Using Different ...
www.researchgate.net › publication › 36...
Besides elaborating on how the new capabilities introduced with 5G can support an ML-based QoE estimation, we perform a simulation-based feasibility study which ...
Duration: 1:04
Posted: Feb 10, 2023
Posted: Feb 10, 2023
Accuracy vs. cost trade-off for machine learning based QoE estimation in 5G networks. S Schwarzmann, CC Marquezan, R Trivisonno, S Nakajima, T Zinner.
Duration: 6:42
Posted: Jan 19, 2024
Posted: Jan 19, 2024
The authors in this work used ML algorithms for establishing frameworks capable of predicting QoE using QoS network parameters like 5G-specific and wireless- ...
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This work presents and evaluates an ML-based mechanism for video streaming QoE estimation in 5G networks, which relies on an ML algorithm embedded in NWDAF, ...
This paper studies the feasibility of Machine Learning (ML) techniques for QoE estimation and evaluates their performance for a mobile video streaming use-case.
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