Title
Game-theoretic source selection and power control for quality-optimized wireless multimedia device-to-device communications
Abstract
This paper addresses the problem that devices are reluctant to participate in local device-to-device (D2D) communications in the purpose of improving the data transmission quality. We propose a novel game-theoretic approach of joint source selection and power control, which enhances the multimedia transmission quality with latency constraint. The proposed approach first analyzes the interactions between the base station (BS) and the devices using a Stackelberg game model. The optimal transmission power and price are obtained for each source device through deriving Stackelberg equilibrium off-line, in which the BS and the device both achieve maximum utilities. Second, the BS schedules the devices according to its equilibrium of signal-to-interference-and-noise ratios in D2D links. Finally, the selected best source devices complete the multimedia transmission with their power controlled. Simulations demonstrate that our proposed scheme can significantly improve multimedia transmission quality with low complexity.
Year
DOI
Venue
2014
10.1109/GLOCOM.2014.7037528
GLOBECOM
Keywords
Field
DocType
joint source selection,stackelberg equilibrium,wireless multimedia communications,power control,device-to-device communications,source selection,multimedia transmission quality,signal-to-interference-and-noise ratios,game theory,quality-optimized wireless multimedia,device-to-device (d2d),stackelberg game model,telecommunication control,data transmission quality,latency constraint,game-theoretic source selection,multimedia communication,radiocommunication,wireless communication,games,interference,signal to noise ratio
Base station,Wireless,Data transmission,Computer science,Power control,Signal-to-noise ratio,Computer network,Schedule,Interference (wave propagation),Stackelberg competition
Conference
ISSN
Citations 
PageRank 
2334-0983
2
0.38
References 
Authors
9
5
Name
Order
Citations
PageRank
Qin Wang1527.02
Wei Wang224517.61
Shi Jin33744274.70
Hongbo Zhu436785.53
Naitong Zhang534145.04