Coalitional Games with Incomplete Information among Secondary Users in Cognitive Radio Networks

Abstract

In this paper, we propose a model for coalition formation among Secondary Users (SUs) with incomplete information in Cognitive Radio (CR) networks based on the Bayesian equilibrium. This model allows us to study coalition formation among SUs with respect to the stations’ information endowments. By using the proposed method, SUs can self-organize into disjoint independent coalitions. We are the able identify the cost of incomplete information on the Bayesian equilibrium. As a result, we can propose an algorithm for coalition formation among SBSs with incomplete information based on the Bayesian equilibrium. To evaluate our approach, we developed a realistic model of cognitive radio networks, and used them to make simulation experiments. The results demonstrate the practicality of our algorithm.