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Movement-based incentive for cellular traffic offloading through D2D communications

Tian, Feng, Liu, Bo, Xiong, Jian and Gui, Lin 2016, Movement-based incentive for cellular traffic offloading through D2D communications, in BMSB 2016 : IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, IEEE, Piscataway, N. J., pp. 263-267, doi: 10.1109/BMSB.2016.7521954.

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Title Movement-based incentive for cellular traffic offloading through D2D communications
Author(s) Tian, Feng
Liu, BoORCID iD for Liu, Bo orcid.org/0000-0002-3603-6617
Xiong, Jian
Gui, Lin
Conference name Broadband Multimedia Systems and Broadcasting. Conference (2016 : Nara, Japan)
Conference location Nara, Japan
Conference dates 1-3 June. 2016
Title of proceedings BMSB 2016 : IEEE International Symposium on Broadband Multimedia Systems and Broadcasting
Editor(s) [Unknown]
Publication date 2016
Conference series Broadband Multimedia Systems and Broadcasting
Start page 263
End page 267
Total pages 5
Publisher IEEE
Place of publication Piscataway, N. J.
Keyword(s) Traffic offloading
auction theory
game theory
mobility control
Summary Due to the various applications for smartphones, mobile data traffic is growing at an unprecedented rate. The cellular network is suffering from traffic overloaded currently. Offloading part of the cellular traffic through opportunistic contact between mobile devices is a promising solution to solve the overload problem. However, due to the uneven distribution of devices and regular mobility of smartphone users, the contacts between mobile devices are opportunistic, the cellular traffic offloading approach results in poor performance, i.e., the relay user contacts with other mobile users with small probability. In this paper, we are the first to propose a movement-based incentive mechanism for cellular traffic offloading, where we control the mobility of relay users to improve the performance of traffic offloading. The movement-based incentive mechanism contains a relay user selection algorithm and a payment determination algorithm. Comparing with existing solutions, our proposed movement-based incentive mechanism has better performance.
ISBN 9781467390446
ISSN 2155-5044
2155-5052
Language eng
DOI 10.1109/BMSB.2016.7521954
Field of Research 080503 Networking and Communications
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30086367

Document type: Conference Paper
Collection: School of Information Technology
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