IEICE TRANSACTIONS on Fundamentals
Resource Allocation and Layer Selection for Scalable Video Streaming over Highway Vehicular Networks
Summary :
How to manage the video streaming in future networks is becoming a more and more challenging issue. Recent studies on vehicular networks depict a new picture of the next generation Intelligent Transport System (ITS), with high level road safety and more comfortable driving experience. To cope with the heterogeneous network development for the next generation cellular network, centralized medium control is promising to be employed upon Road Side Unit (RSU). To accommodate the QoS constraints posed by video services in vehicular networks, the scalable video coding (SVC) scheme in H.264/AVC standard family offers spatial and temporal scalabilities in the video dissemination. In this paper, we target the resource allocation and layer selection problem for the multi-user video streaming over highway scenario, by employing SVC coding scheme for the video contents. We propose a Resource Allocation and Layer Selection (RALS) algorithm, which explicitly takes account of the utility value of each Group Of Picture (GOP) among all the vehicular users. Simulation results show that our proposed RALS algorithm outperforms the comparison schemes in typical scenarios.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E99-A No.11 pp.1909-1917
- Publication Date
- 2016/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E99.A.1909
- Type of Manuscript
- Special Section PAPER (Special Section on Smart Multimedia & Communication Systems)
- Category
- Intelligent Transport System
Authors
Ruijian AN
the Graduate University for Advanced Studies
Zhi LIU
Waseda University
Hao ZHOU
the University of Science and Technology of China,the National Institute of Informatics
Yusheng JI
the National Institute of Informatics, and the Graduate University for Advanced Studies
Keyword
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Ruijian AN, Zhi LIU, Hao ZHOU, Yusheng JI, "Resource Allocation and Layer Selection for Scalable Video Streaming over Highway Vehicular Networks" in IEICE TRANSACTIONS on Fundamentals,
vol. E99-A, no. 11, pp. 1909-1917, November 2016, doi: 10.1587/transfun.E99.A.1909.
Abstract: How to manage the video streaming in future networks is becoming a more and more challenging issue. Recent studies on vehicular networks depict a new picture of the next generation Intelligent Transport System (ITS), with high level road safety and more comfortable driving experience. To cope with the heterogeneous network development for the next generation cellular network, centralized medium control is promising to be employed upon Road Side Unit (RSU). To accommodate the QoS constraints posed by video services in vehicular networks, the scalable video coding (SVC) scheme in H.264/AVC standard family offers spatial and temporal scalabilities in the video dissemination. In this paper, we target the resource allocation and layer selection problem for the multi-user video streaming over highway scenario, by employing SVC coding scheme for the video contents. We propose a Resource Allocation and Layer Selection (RALS) algorithm, which explicitly takes account of the utility value of each Group Of Picture (GOP) among all the vehicular users. Simulation results show that our proposed RALS algorithm outperforms the comparison schemes in typical scenarios.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E99.A.1909/_p
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@ARTICLE{e99-a_11_1909,
author={Ruijian AN, Zhi LIU, Hao ZHOU, Yusheng JI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Resource Allocation and Layer Selection for Scalable Video Streaming over Highway Vehicular Networks},
year={2016},
volume={E99-A},
number={11},
pages={1909-1917},
abstract={How to manage the video streaming in future networks is becoming a more and more challenging issue. Recent studies on vehicular networks depict a new picture of the next generation Intelligent Transport System (ITS), with high level road safety and more comfortable driving experience. To cope with the heterogeneous network development for the next generation cellular network, centralized medium control is promising to be employed upon Road Side Unit (RSU). To accommodate the QoS constraints posed by video services in vehicular networks, the scalable video coding (SVC) scheme in H.264/AVC standard family offers spatial and temporal scalabilities in the video dissemination. In this paper, we target the resource allocation and layer selection problem for the multi-user video streaming over highway scenario, by employing SVC coding scheme for the video contents. We propose a Resource Allocation and Layer Selection (RALS) algorithm, which explicitly takes account of the utility value of each Group Of Picture (GOP) among all the vehicular users. Simulation results show that our proposed RALS algorithm outperforms the comparison schemes in typical scenarios.},
keywords={},
doi={10.1587/transfun.E99.A.1909},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - Resource Allocation and Layer Selection for Scalable Video Streaming over Highway Vehicular Networks
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1909
EP - 1917
AU - Ruijian AN
AU - Zhi LIU
AU - Hao ZHOU
AU - Yusheng JI
PY - 2016
DO - 10.1587/transfun.E99.A.1909
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E99-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2016
AB - How to manage the video streaming in future networks is becoming a more and more challenging issue. Recent studies on vehicular networks depict a new picture of the next generation Intelligent Transport System (ITS), with high level road safety and more comfortable driving experience. To cope with the heterogeneous network development for the next generation cellular network, centralized medium control is promising to be employed upon Road Side Unit (RSU). To accommodate the QoS constraints posed by video services in vehicular networks, the scalable video coding (SVC) scheme in H.264/AVC standard family offers spatial and temporal scalabilities in the video dissemination. In this paper, we target the resource allocation and layer selection problem for the multi-user video streaming over highway scenario, by employing SVC coding scheme for the video contents. We propose a Resource Allocation and Layer Selection (RALS) algorithm, which explicitly takes account of the utility value of each Group Of Picture (GOP) among all the vehicular users. Simulation results show that our proposed RALS algorithm outperforms the comparison schemes in typical scenarios.
ER -
English
