Abstract
Ultra-High-Definition (UHD) video applications such as streaming are envisioned as a main driver for the emerging Fifth Generation (5G) mobile networks being developed worldwide. This paper focuses on addressing a major technical challenge in meeting UHD users’ growing expectation for continuous high-quality video delivery in 5G hotspots where congestion is commonplace to occur. A novel 5G-UHD framework is proposed towards achieving adaptive video streaming in this demanding scenario to pave the way for self-optimisation oriented 5G UHD streaming. The architectural design and the video stream optimisation mechanism are described, and the system is prototyped based on a realistic virtualised 5G testbed. Empirical experiments validate the design of the framework and yield a set of insightful performance evaluation results.
| Original language | English |
|---|---|
| Pages (from-to) | 171-184 |
| Number of pages | 14 |
| Journal | Computer Communications |
| Volume | 118 |
| Early online date | 2 Dec 2017 |
| DOIs | |
| Publication status | Published - 31 Mar 2018 |
Funding
This work was funded in part by the European Commission Horizon 2020 5G PPP Programme under grant agreement number H2020-ICT-2014-2/671672 – SELFNET (Self-Organized Network Management in Virtualized and Software Defined Networks). The authors wish to thank all the SELFNET partners for their support in this work. This work was additionally funded by the UWS 5G Video Lab project.
Keywords
- 5G networks
- performance evaluation
- scalable H.265/HEVC
- testbed
- UHD video streaming
- video adaptation
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