Channel Allocation Based on Potential Game in Cognitive Radio System

The cognitive radio is based on the thought of adaptive channel allocation. It solves the problems of spectrum lack and spectrum inefficiency in current communication networks. In this paper we propose an improved algorithm to the channel allocation in the cognitive radio based on potential game theory aimed at minimizing the system interference. The improved algorithm will accelerate the game to its convergence point. We present the principle of potential game and utility function. Simulation result and analysis which fits the theoretical analysis are given in the paper.