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Graph theory based QoE-driven cooperation stimulation for content dissemination in device-To-device communication

Zhang, Aiqing, Chen, Jianxin, Zhou, Liang and Yu, Shui 2015, Graph theory based QoE-driven cooperation stimulation for content dissemination in device-To-device communication, IEEE transactions on emerging topics in computing, vol. PP, no. 99, pp. 1-12, doi: 10.1109/TETC.2015.2430816.

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Title Graph theory based QoE-driven cooperation stimulation for content dissemination in device-To-device communication
Author(s) Zhang, Aiqing
Chen, Jianxin
Zhou, Liang
Yu, Shui
Journal name IEEE transactions on emerging topics in computing
Volume number PP
Issue number 99
Start page 1
End page 12
Total pages 12
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2015-01-01
ISSN 2168-6750
Keyword(s) D2D communication
QoE
Cooperation stimulation
Content dissemination
Summary With multimedia dominating the digital contents, Device-To-Device (D2D) communication has been proposed as a promising data offloading solution in the big data area. As the quality of experience (QoE) is a major determining factor in the success of new multimedia applications, we propose a QoEdriven cooperative content dissemination (QeCS) scheme in this work. Specifically, all users predict the QoE of the potential connections characterized by the mean opinion score (MOS), and send the results to the content provider (CP). Then CP formulates a weighted directed graph according to the network topology and MOS of each potential connection. In order to stimulate cooperation among the users, the content dissemination mechanism is designed through seeking 1-factor of the weighted directed graph with the maximum weight thus achieving maximum total user MOS. Additionally, a debt mechanism is adopted to combat the cheat attacks. Furthermore, we extend the proposed QeCS scheme by considering a constrained condition to the optimization problem for fairness improvement. Extensive simulation results demonstrate that the proposed QeCS scheme achieves both efficiency and fairness especially in large scale and density networks.
Language eng
DOI 10.1109/TETC.2015.2430816
Field of Research 080503 Networking and Communications
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30088675

Document type: Journal Article
Collection: School of Information Technology
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