A QoE centric distributed caching approach for vehicular video streaming in cellular networks

Sun, Fei, Liu, Bo, Hou, Fen, Zhou, Haibo, Chen, Jiacheng, Rui, Yun and Gui, Lin 2016, A QoE centric distributed caching approach for vehicular video streaming in cellular networks, Wireless communications and mobile computing, vol. 16, no. 12, pp. 1612-1624, doi: 10.1002/wcm.2636.

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Title A QoE centric distributed caching approach for vehicular video streaming in cellular networks
Author(s) Sun, Fei
Liu, BoORCID iD for Liu, Bo orcid.org/0000-0002-3603-6617
Hou, Fen
Zhou, Haibo
Chen, Jiacheng
Rui, Yun
Gui, Lin
Journal name Wireless communications and mobile computing
Volume number 16
Issue number 12
Start page 1612
End page 1624
Total pages 13
Publisher Wiley
Place of publication London, Eng.
Publication date 2016-08-25
ISSN 1530-8669
Keyword(s) Distributed caching
Vehicular video streaming
Cellular network
Summary Distributed caching-empowered wireless networks can greatly improve the efficiency of data storage and transmission and thereby the users' quality of experience (QoE). However, how this technology can alleviate the network access pressure while ensuring the consistency of content delivery is still an open question, especially in the case where the users are in fast motion. Therefore, in this paper, we investigate the caching issue emerging from a forthcoming scenario where vehicular video streaming is performed under cellular networks. Specifically, a QoE centric distributed caching approach is proposed to fulfill as many users' requests as possible, considering the limited caching space of base stations and basic user experience guarantee. Firstly, a QoE evaluation model is established using verified empirical data. Also, the mathematic relationship between the streaming bit rate and actual storage space is developed. Then, the distributed caching management for vehicular video streaming is formulated as a constrained optimization problem and solved with the generalized-reduced gradient method. Simulation results indicate that our approach can improve the users' satisfaction ratio by up to 40%.
Language eng
DOI 10.1002/wcm.2636
Field of Research 0805 Distributed Computing
0906 Electrical And Electronic Engineering
080502 Mobile Technologies
Socio Economic Objective 890103 Mobile Data Networks and Services
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Wiley
Persistent URL http://hdl.handle.net/10536/DRO/DU:30082345

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