Zhang, GuoPeng and Yang, Kun and Xu, Ke and Dong, YongQuan (2015) A bargaining game theoretic method for virtual resource allocation in LTE-based cellular networks. Science China Information Sciences, 58 (12). pp. 1-9. DOI https://doi.org/10.1007/s11432-015-5457-9
Zhang, GuoPeng and Yang, Kun and Xu, Ke and Dong, YongQuan (2015) A bargaining game theoretic method for virtual resource allocation in LTE-based cellular networks. Science China Information Sciences, 58 (12). pp. 1-9. DOI https://doi.org/10.1007/s11432-015-5457-9
Zhang, GuoPeng and Yang, Kun and Xu, Ke and Dong, YongQuan (2015) A bargaining game theoretic method for virtual resource allocation in LTE-based cellular networks. Science China Information Sciences, 58 (12). pp. 1-9. DOI https://doi.org/10.1007/s11432-015-5457-9
Abstract
In this paper, we study the virtual resource (VR) allocation problem in LTE-based wireless network virtualization (WNV). A practical network scenario, where multiple virtual wireless service providers (WSPs) request the VR from a unique mobile network operator (MNO) is considered. Our objective is two folds. The first is to guarantee the minimum rate requirements of the MNO and the WSPs. The second is to distribute the system rate among the MNO and the WSPs in the Pareto optimal manner. To this end, an efficient VR allocation scheme based on bargaining game theory is proposed, and the Nash bargaining solution (NBS) method is used to solve the proposed game problem. The proposed game problem is proved to be a convex optimization problem. By using standard convex optimization method, the global optimal NBS of the game is obtained in closed form. The effectiveness of the proposed VR allocation game is testified through numerical results.
Item Type: | Article |
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Uncontrolled Keywords: | wireless network virtualization; spectrum resource allocation; cooperative game theory; Nash bargaining solution; Pareto optimality |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 11 Feb 2016 11:08 |
Last Modified: | 30 Oct 2024 20:23 |
URI: | http://repository.essex.ac.uk/id/eprint/16060 |