Abstract | ||
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Device-to-Device (D2D) technology provides a potential way to improve cellular network throughputs. However, severe interference is introduced with universal frequency reuse, which significantly degrades the network performance. In this paper, we investigate distributed power control strategies in a D2D underlaid cellular network. An enhanced single-leader-multiple-followers Stackelberg game model is presented, where the quality-of-service (QoS) constraints of both the macro base station user (leader) and the D2D users (followers) are considered simultaneously in the price update by using a discount factor. The conditions for the uniqueness of Stackelberg equilibrium (SE) are proposed, and a distributed power control algorithm related to the price update for the game model is proposed to achieve SE. The simulation results show that besides the reasonability and fairness in power allocation, our proposed scheme provides commendable QoS protection, and there exists a tradeoff between the QoS of the leader and followers by adopting different price policies. |
Year | DOI | Venue |
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2014 | 10.1109/WCNC.2014.6952365 | WCNC |
Keywords | Field | DocType |
cellular network throughputs,discount factor,stackelberg equilibrium,power control,device-to-device technology,cellular radio,quality of service,price policies,macro base station user,resource allocation,d2d technology,game theory,d2d underlaid cellular network,power allocation,price update,qos constraints,d2d users,distributed power control strategies,quality-of-service constraints,pricing,enhanced single-leader-multiple-followers stackelberg game model,universal frequency reuse,games,optimization,lead,interference | Uniqueness,Discounting,Computer science,Computer network,Quality of service,Distributed power control,Cellular network,Interference (wave propagation),Stackelberg competition,Network performance | Conference |
ISSN | Citations | PageRank |
1525-3511 | 1 | 0.36 |
References | Authors | |
7 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chengdan Sun | 1 | 1 | 0.36 |
Mugen Peng | 2 | 2779 | 200.37 |
Yaohua Sun | 3 | 153 | 9.72 |
Yuan Li | 4 | 208 | 9.46 |
Jiamo Jiang | 5 | 44 | 6.71 |