dc.contributor.author | Schwarzmann, Susanna | |
dc.contributor.author | Marquezan, Clarissa | |
dc.contributor.author | Bosk, Marcin | |
dc.contributor.author | Liu, Huiran | |
dc.contributor.author | Trivisonno, Riccardo | |
dc.contributor.author | Zinner, Thomas Erich | |
dc.date.accessioned | 2020-03-20T12:28:09Z | |
dc.date.available | 2020-03-20T12:28:09Z | |
dc.date.created | 2019-12-20T15:24:52Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 978-1-4503-6927-5 | |
dc.identifier.uri | https://hdl.handle.net/11250/2647858 | |
dc.description.abstract | Compared to earlier mobile network generations, the 5G system architecture has been significantly enhanced by the introduction of network analytics functionalities and ex- tended 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 each other, and which techniques can be used in 5G systems for QoE estimation. This paper studies the feasibility of Machine Learning (ML) techniques for QoE estimation and evaluates their performance for a mobile video streaming use-case. A simulator has been implemented with OMNeT++ for generating traces to (i) examine the relevance of features generated from 5G monitoring data and (ii) to study the QoE estimation accuracy (iii) for a variable number of used features. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Association for Computing Machinery (ACM) | en_US |
dc.relation.ispartof | Proceedings of the 4th Internet-QoE Workshop on QoE-based Analysis and Management of Data Communication Networks | |
dc.title | Estimating Video Streaming QoE in the 5G Architecture Using Machine Learning | en_US |
dc.type | Chapter | en_US |
dc.description.version | acceptedVersion | en_US |
dc.identifier.doi | https://doi.org/10.1145/3349611.3355547 | |
dc.identifier.cristin | 1763478 | |
dc.description.localcode | © ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published here, https://doi.org/10.1145/3349611.3355547 | en_US |
cristin.unitcode | 194,63,30,0 | |
cristin.unitname | Institutt for informasjonssikkerhet og kommunikasjonsteknologi | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |