Abstract
Cognitive radio users are allowed to utilize unused portions of the licensed spectrum, which leads to performance enhancement. With more and more wireless devices and users, the channel allocation problem has become an important issue in the cognitive radio networks. In this paper, we propose an interference-aware channel allocation algorithm with game theoretic approach. We prove our proposed algorithm can achieve Nash Equilibrium convergence in the game theory. With the results of simulations, our proposed algorithm has better performance than previous work.