Abstract

Game theory has been applied for resource allocation as an effective tool in multi-user communication system. It can be divided into two types, i. e. non-cooperative game and cooperative game. The non-cooperative game theory has been widely used for resource allocations in wireless communication. This paper adopts cooperative game theory to ensure the system efficiency and user fairness. A Nash bargaining power control game is modeled, interference power controls (IPCs) are set up for the protection of the information transmission of primary users, meanwhile, the minimum SINR requirement is adopted in order to provide reliable transmission opportunities for cognitive users, and the Nash theory is followed. As a result, it is beneficial for the development of high-efficient distributed power control algorithms. In this paper, an iterative Nash bargaining algorithm is proposed, which converges to the Pareto Optimality state.

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