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. Attached Files Name Description MIMEType Size Downloads Title A QoE centric distributed caching approach for vehicular video streaming in cellular networks Author(s) Sun, Fei 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 1530-8677 Keyword(s) Distributed caching QoE 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 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 18 Mar 2016, 16:11:47 EST Sat, 19 Mar 2016, 04:19:38 EST Sat, 19 Mar 2016, 05:11:12 EST Thu, 07 Jul 2016, 13:18:25 EST Thu, 07 Jul 2016, 13:26:02 EST Tue, 19 Jul 2016, 11:34:39 EST Wed, 09 Nov 2016, 11:14:40 EST Mon, 16 Jan 2017, 09:46:27 EST Mon, 16 Jan 2017, 09:51:50 EST Wed, 01 Mar 2017, 07:52:52 EST Filtered Full Citation counts:   Cited 3 times in TR Web of Science Cited 8 times in Scopus Search Google Scholar Access Statistics: 107 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Fri, 18 Mar 2016, 16:11:47 EST

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