Dynamic adaptive streaming over HTTP-based 3D resource allocation algorithm

With the improvement of people's quality of life, the demand for three-dimensional (3D) video has gradually grown in recent years. However, there are many challenges to providing high-definition and high-fidelity 3D video. One of the most difficult challenges for users to provide 3D video is a...

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Bibliographic Details
Published in:Journal of engineering (Stevenage, England) Vol. 2019; no. 23; pp. 8888 - 8890
Main Authors: Deng, Yujie, Xu, Zhan, Tian, Zhigang
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 01.12.2019
Wiley
Subjects:
3D video transmission
7th International Symposium on Test Automation and Instrumentation (ISTAI 2018)
cloud computing
cloud processing
dynamic adaptive
energy conservation
greater energy savings
high-fidelity 3d video
HTTP‐based 3D
hypermedia
multiple users
people
providing high-definition
resource allocation
resource allocation scheme
share output bits
three-dimensional video
transmission energy loss
video resources
video streaming
high-fidelity 3D video
3D video transmission
video resources
hypermedia
people
resource allocation scheme
HTTP-based 3D
providing high-definition
multiple users
resource allocation
cloud processing
energy conservation
dynamic adaptive
video streaming
greater energy savings
transmission energy loss
cloud computing
share output bits
three-dimensional video
ISSN:2051-3305, 2051-3305
Online Access:Get full text
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Summary:With the improvement of people's quality of life, the demand for three-dimensional (3D) video has gradually grown in recent years. However, there are many challenges to providing high-definition and high-fidelity 3D video. One of the most difficult challenges for users to provide 3D video is a large amount of energy lost during 3D video transmission. In this study, the authors present a 3D resource allocation system architecture, which can effectively alleviate the problem of large transmission energy loss. They propose that multiple users in a small cell can share video resources in the downlink from the cloud to the client. In the cloud processing, multiple users can share part of the cloud computing work cycle. In the downlink, multiple users can share part of video resources. They presume that some share output bits can be multicast to overall users, and the other bits can be sent to every user in unicast. They model this and derive the simulation results. The simulation results show that the resource allocation scheme in this study achieves greater energy savings under certain conditions than the traditional case without sharing the resource.
ISSN:2051-3305
2051-3305
DOI:10.1049/joe.2018.9136