5G-UHD: design, prototyping and empirical evaluation of adaptive ultra-high-definition video streaming based on scalable H.265 in virtualised 5G networks

Pablo Salva Garcia; Jose M. Alcaraz Calero; Ricardo Marco Alaez; Enrique Chirivella Perez; James Nightingale; Qi Wang

doi:10.1016/j.comcom.2017.11.007

5G-UHD: design, prototyping and empirical evaluation of adaptive ultra-high-definition video streaming based on scalable H.265 in virtualised 5G networks

Pablo Salva Garcia, Jose M. Alcaraz Calero, Ricardo Marco Alaez, Enrique Chirivella Perez, James Nightingale, Qi Wang

School of Computing, Engineering and Physical Sciences

Research output: Contribution to journal › Article › peer-review

23 Citations (Scopus)

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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	https://doi.org/10.1016/j.comcom.2017.11.007
Publication status	E-pub ahead of print - 2 Dec 2017

Keywords

UHD video streaming
5G networks
Scalable H.265/HEVC
video adaptation
testbed
performance evaluation

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10.1016/j.comcom.2017.11.007

2017 11 16 Garcia et al 5G-UHD acceptedAccepted author manuscript, 1.29 MBLicence: CC BY-NC-ND

Qi Wang
- School of Computing, Engineering and Physical Sciences
Person: Academic

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Salva Garcia, P., Alcaraz Calero, J. M., Marco Alaez, R., Chirivella Perez, E., Nightingale, J., & Wang, Q. (2017). 5G-UHD: design, prototyping and empirical evaluation of adaptive ultra-high-definition video streaming based on scalable H.265 in virtualised 5G networks. Computer Communications, 118, 171-184. Advance online publication. https://doi.org/10.1016/j.comcom.2017.11.007

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title = "5G-UHD: design, prototyping and empirical evaluation of adaptive ultra-high-definition video streaming based on scalable H.265 in virtualised 5G networks",

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{\textquoteright} 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.",

keywords = "UHD video streaming, 5G networks, Scalable H.265/HEVC, video adaptation, testbed, performance evaluation",

author = "\{Salva Garcia\}, Pablo and \{Alcaraz Calero\}, \{Jose M.\} and \{Marco Alaez\}, Ricardo and \{Chirivella Perez\}, Enrique and James Nightingale and Qi Wang",

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doi = "10.1016/j.comcom.2017.11.007",

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AU - Salva Garcia, Pablo

AU - Alcaraz Calero, Jose M.

AU - Marco Alaez, Ricardo

AU - Chirivella Perez, Enrique

AU - Nightingale, James

AU - Wang, Qi

PY - 2017/12/2

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AB - 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.

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KW - video adaptation

KW - testbed

KW - performance evaluation

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JO - Computer Communications

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ER -

5G-UHD: design, prototyping and empirical evaluation of adaptive ultra-high-definition video streaming based on scalable H.265 in virtualised 5G networks

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Keywords

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