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

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

23 Citations (Scopus)

306 Downloads (Pure)

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

Access to Document

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
Person

Cite this

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

@article{42d89510313841bbac4d0e1e7b0ebb44,

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",

year = "2017",

month = dec,

day = "2",

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

language = "English",

volume = "118",

pages = "171--184",

journal = "Computer Communications",

issn = "0140-3664",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - 5G-UHD

T2 - design, prototyping and empirical evaluation of adaptive ultra-high-definition video streaming based on scalable H.265 in virtualised 5G networks

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

Y1 - 2017/12/2

N2 - 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.

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.

KW - UHD video streaming

KW - 5G networks

KW - Scalable H.265/HEVC

KW - video adaptation

KW - testbed

KW - performance evaluation

U2 - 10.1016/j.comcom.2017.11.007

DO - 10.1016/j.comcom.2017.11.007

M3 - Article

SN - 0140-3664

VL - 118

SP - 171

EP - 184

JO - Computer Communications

JF - Computer Communications

ER -

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

Abstract

Keywords

Access to Document

Fingerprint

Profiles

Qi Wang

Cite this