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Social Attribute Aware Incentive Mechanism for Device-to-Device Video Distribution
- Source :
- IEEE Transactions on Multimedia. 19:1908-1920
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- To offload and alleviate the heavy base station (BS) traffic load caused by the rapidly growing video services, device-to-device (D2D) communication, as one of the most indispensable technologies of the future cellular networks, can be potentially exploited by mobile users to distribute videos for a BS. In this paper, an effective pricing-based multicast video distribution system and a grid-based clustering method are proposed to support the distribution. Moreover, with the consideration of users’ mobility and social characteristics, we classify them into multicast and core types by studying the user stay probability and familiarity. In particular, core users can cooperate with the BS to distribute videos to the multicast users through intracluster D2D multicast. However, core users cannot selflessly help the BS to distribute videos; instead, they will evaluate their personal benefits before distributing the videos to the multicast users. Further, a Stackelberg game-based pricing mechanism is proposed to inspire the core users to distribute videos. Simulation results demonstrate that the proposed mechanism can not only effectively alleviate the BS traffic load, but also significantly improve the effectiveness and reliability of video transmission.
- Subjects :
- Multicast
Computer science
business.industry
Reliability (computer networking)
Mobile computing
020206 networking & telecommunications
02 engineering and technology
Grid
Computer Science Applications
Base station
Source-specific multicast
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
Media Technology
Cellular network
020201 artificial intelligence & image processing
Electrical and Electronic Engineering
business
Computer network
Subjects
Details
- ISSN :
- 19410077 and 15209210
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Multimedia
- Accession number :
- edsair.doi...........90a9fe48625007f8a2fd66008a6f3376
- Full Text :
- https://doi.org/10.1109/tmm.2017.2692648