Utility-oriented resource allocation for 360-degree video transmission over heterogeneous networks
Immersive media streaming, especially virtual reality (VR)/360-degree video streaming which is very bandwidth demanding, has become more and more popular due to the rapid growth of the multimedia and networking deployments. To better explore the usage of resource and achieve better video quality per...
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| Published in | Digital signal processing Vol. 84; pp. 1 - 14 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Inc
01.01.2019
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Immersive media streaming, especially virtual reality (VR)/360-degree video streaming which is very bandwidth demanding, has become more and more popular due to the rapid growth of the multimedia and networking deployments. To better explore the usage of resource and achieve better video quality perceived by users, this paper develops an application-layer scheme to jointly exploit the available bandwidth from the LTE and Wi-Fi networks in 360-degree video streaming. This newly proposed scheme explores the saliency of video contents, prediction of users' view and channel status information to maximize the system's utility in a multi-RAN environment. It also determines the optimal association of users with multiple Wi-Fi access points (APs). Besides, a novel buffer strategy is proposed to mitigate the influence of short-time prediction problem for transmitting 360-degree videos in time-varying networks. The promising performance and low complexity of the proposed scheme and algorithms are validated in simulations with various 360-degree videos. |
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| AbstractList | Immersive media streaming, especially virtual reality (VR)/360-degree video streaming which is very bandwidth demanding, has become more and more popular due to the rapid growth of the multimedia and networking deployments. To better explore the usage of resource and achieve better video quality perceived by users, this paper develops an application-layer scheme to jointly exploit the available bandwidth from the LTE and Wi-Fi networks in 360-degree video streaming. This newly proposed scheme explores the saliency of video contents, prediction of users' view and channel status information to maximize the system's utility in a multi-RAN environment. It also determines the optimal association of users with multiple Wi-Fi access points (APs). Besides, a novel buffer strategy is proposed to mitigate the influence of short-time prediction problem for transmitting 360-degree videos in time-varying networks. The promising performance and low complexity of the proposed scheme and algorithms are validated in simulations with various 360-degree videos. |
| Author | Hwang, Jenq-Neng Min, Xiongkuo Huang, Wei Ding, Lianghui Xu, Yiling Zhang, Wenjun Zhai, Guangtao |
| Author_xml | – sequence: 1 givenname: Wei orcidid: 0000-0002-4023-7710 surname: Huang fullname: Huang, Wei organization: Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China – sequence: 2 givenname: Lianghui surname: Ding fullname: Ding, Lianghui organization: Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China – sequence: 3 givenname: Guangtao orcidid: 0000-0001-8165-9322 surname: Zhai fullname: Zhai, Guangtao organization: Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China – sequence: 4 givenname: Xiongkuo surname: Min fullname: Min, Xiongkuo organization: Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China – sequence: 5 givenname: Jenq-Neng surname: Hwang fullname: Hwang, Jenq-Neng organization: Department of Electrical Engineering, University of Washington, Seattle WA, USA – sequence: 6 givenname: Yiling surname: Xu fullname: Xu, Yiling email: yl.xu@sjtu.edu.cn organization: Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China – sequence: 7 givenname: Wenjun surname: Zhang fullname: Zhang, Wenjun organization: Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China |
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| Cites_doi | 10.1109/JSAC.2012.120117 10.1109/MCOM.2017.1601089 10.1016/j.dsp.2017.01.004 10.1016/j.dsp.2015.12.007 10.1007/s11277-015-2997-7 10.1016/j.dsp.2014.09.005 10.1145/2740070.2626296 10.1109/MWC.2015.7143339 10.1109/JSTSP.2014.2336603 10.1109/TBC.2016.2623240 10.1002/bltj.20538 10.1109/TMM.2013.2247583 10.1007/s11227-016-1662-6 10.1109/TBC.2012.2220231 |
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| Keywords | Quality of video Saliency Field of view (FoV) Virtual reality (VR)/360-degree video Resource allocation |
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