Improved iteration strategy of game-based channel allocation method for cognitive wireless network

Based on queuing theory and game analysis, a distributed channel allocation algorithm for secondary users in cognitive wireless networks is proposed. Compared with prior works, the first contribution in this paper is the iterative process with dynamic adjustment step. In traditional strategy adjustment algorithm, the adjustment step is set as fixed, this may cause the periodic oscillation. Another contribution is an efficient iteration formula that reduces the complexity, and improves the convergence of algorithm. Simulation results show that, the convergence speed and the final convergence results are all better than those of the original algorithm.