Bin Han, Hong Jiang, Ying Luo, and Jinzhi Zhou
Cognitive radio, quantum genetic algorithm, spectrum allocation,variation threshold, continuous function
In the spectrum allocation of cognitive radio (CR) network, the problems of local optimum and premature convergence remain chal- lenging. To further improve the efficiency of the spectrum allocation, this paper proposes a novel method based on an improved quantum genetic algorithm. This is an algorithm that is designed to dynami- cally adjust the quantum rotation angle to speed up the convergence rate. In particular, the variation threshold was introduced to the mutation operation on chromosomes, establishing new interference constraint rules in the process of spectrum allocation. The simula- tion work was implemented for validation, and the results revealed that the proposed methodology achieved better average benefits of the CR network for a reasonable allocation of the spectrum.
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