DocumentCode
2181414
Title
Fair Resource Bargaining Solutions for Cooperative Multi-Operator Networks
Author
Hew, Siew-Lee ; White, Langford B.
Author_Institution
Sch. of Electr. & Electron. Eng., Adelaide Univ., SA
fYear
0
fDate
0-0 0
Firstpage
58
Lastpage
61
Abstract
The high cost associated with the rollout of 3G services encourages operators to share network infrastructure. Network sharing poses a new challenge in devising fair, efficient and Pareto-optimal resource allocation strategies to distribute system resources among users of different operators in the network. Cooperative game theory provides a framework for formulating such strategies. In this paper, we propose a model for cooperative resource allocation game in shared networks and derive a set of bargaining solutions based on the concept of preference functions that depends on the weight that players place on their own gain and the losses of others. We then extend our analysis to nonlinear utility functions
Keywords
3G mobile communication; game theory; resource allocation; 3G services; Pareto-optimal resource allocation; cooperative multioperator networks; cooperative resource allocation game; fair resource bargaining solutions; network infrastructure; network sharing; nonlinear utility functions; Acceleration; Australia; Base stations; Costs; Game theory; Investments; Licenses; Multiaccess communication; Radio access networks; Resource management;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2006 International Zurich Seminar on
Conference_Location
Zurich
Print_ISBN
1-4244-0092-9
Type
conf
DOI
10.1109/IZS.2006.1649078
Filename
1649078
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