Abstract
This paper proposes a non-cooperative spectrum allocation algorithm based on game theory in a multi-cognitive wireless network scenario. The interference is selected as the basis for establishing the utility function. In order to avoid problems such as excessive calculation of the iterative algorithm and failure to obtain the optimal solution, etc. In this paper, an improved swarm intelligent bat algorithm is proposed. Compared with the original bat algorithm, the improved bat algorithm is richer and more accurate in speed and location update strategies, which improves the diversity of the population. The improved algorithm is applied to the spectrum allocation problem. By rationally allocating spectrum resources, the interference level of the multi-cognitive wireless network system is effectively reduced. It is applicable to dealing with the interference control problem in distributed cognitive radio networks.
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