Title
A Rewarding Framework for Network Resource Sharing in Co-channel Hybrid Access Femtocell Networks
Abstract
With the explosive growth in mobile data traffic, femtocell technology is regarded as the most effective way to enhance the mobile service quality and system capacity of cellular networks. However, the major problem with femtocell deployment is finding an appropriate access control mode that mobile operators and users are willing to adopt. Among the various kinds of access control modes, the hybrid access mode is considered the most promising because it allows femtocells to give preferential access to femtocell owners, while other public users can only access femtocells with certain restrictions. Because all femtocell owners are selfish, how to provide sufficient incentives so that they will share their femtocell resources is a challenging issue. To address the problem, we propose an economic framework for mobile operator and femtocell users based on game theoretical analysis. We also exploit the concept of revenue sharing, which provides a positive cycle to sustain the femtocell service. In the framework, a femtocell game is formulated where the femtocell owners determine the proportion of femtocell resources they will share with public users, while the operator maximizes its benefit by setting the ratio of the revenue distributed to femtocell owners. We analyze the existence and uniqueness of the Nash Equilibrium of the game. The results of extensive simulations show that the proposed framework maximizes the operator’s benefit and satisfies the users’ service requirements.
Year
DOI
Venue
2015
10.1109/TC.2015.2394453
IEEE Transactions on Computers
Keywords
Field
DocType
femtocell,game theory,hybrid access mode,revenue sharing,access control,economics,games,interference
Femtocell,Telecommunications,Computer science,Mobile service,Computer network,Game theory,Access control,Cellular network,Shared resource,Nash equilibrium,Mobile broadband
Journal
Volume
Issue
ISSN
PP
99
0018-9340
Citations 
PageRank 
References 
10
0.53
20
Authors
4
Name
Order
Citations
PageRank
Yuan-Yao Shih11099.67
Ai-Chun Pang262166.26
Meng-Hsun Tsai3100.87
Chien-Han Chai4100.53