5G-QoE : QoE Modelling for Ultra-HD Video Streaming in 5G Networks
- Submitting institution
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University of the West of Scotland
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 13118672
- Type
- D - Journal article
- DOI
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10.1109/TBC.2018.2816786
- Title of journal
- IEEE Transactions on Broadcasting
- Article number
- -
- First page
- 1
- Volume
- 64
- Issue
- 2
- ISSN
- 0018-9316
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
-
-
- Citation count
- 36
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This contribution proposes a novel practical model for the EU 5G-PPP SELFNET autonomic management framework, providing an indicator of the perceived quality of UHD video applications in 5G networks. It is particularly useful to optimise video users’ Quality of Experience (QoE) in adverse network conditions. This work contributes to the 5G PPP Key Performance Indicator of “S4. Stimulation of new economically-viable services of high societal value like U-HDTV…” and “P4. … ‘zero perceived’ downtime for services provision”. Partially reported in SELFNET Deliverable D7.4 and deployed in Altice Labs’ testbed.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -