Proceedings of the 4th Internet-QoE Workshop on QoE-based Analysis and Management of Data Communication Networks 2019
DOI: 10.1145/3349611.3355547
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Estimating Video Streaming QoE in the 5G Architecture Using Machine Learning

Abstract: Compared to earlier mobile network generations, the 5G system architecture has been significantly enhanced by the introduction of network analytics functionalities and extended capabilities of interacting with third party Application Functions (AFs). Combining these capabilities, new features for Quality of Experience (QoE) estimation can be designed and introduced in next generation networks. It is, however, unclear how 5G networks can collect monitoring data and application metrics, how they correlate to eac… Show more

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Cited by 31 publications
(18 citation statements)
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“…In our previous work [2], we proposed a three step approach for estimating QoE in 5G networks. Firstly, ground-truth QoE is received via the AF and made available to the NWDAF.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…In our previous work [2], we proposed a three step approach for estimating QoE in 5G networks. Firstly, ground-truth QoE is received via the AF and made available to the NWDAF.…”
Section: Methodsmentioning
confidence: 99%
“…In our previous work [2] we proposed a possible integration of an ML-based QoE estimation workflow into the 5G architecture, making use of the newly introduced network functions NWDAF and AF. We evaluated the performance of two basic regression methods for an increasing number of features, following a greedy approach.…”
Section: Background and Related Workmentioning
confidence: 99%
See 2 more Smart Citations
“…In 5G networks, video services will become the mainstream, and the contradiction between explosive growth of data volume and QoE is becoming increasingly prominent [1]. In other words, in a 5G network, when users initiate a request for a certain bit-rate video resource, remote storage devices must respond to users by codec operations within the shortest possible time [2]. Therefore, research on QoE-aware video caching and content distribution technology has attracted extensive attentions from academia and industry.…”
Section: Introductionmentioning
confidence: 99%