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中国物理学会期刊

基于量子遗传算法的认知无线电频谱分配

CSTR: 32037.14.aps.58.1358

Cognitive radio spectrum assignment based on quantum genetic algorithm

CSTR: 32037.14.aps.58.1358
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  • 提出了基于量子遗传算法的认知无线电频谱分配算法,通过仿真比较了本文算法与颜色敏感图论着色频谱分配算法的性能.结果表明基于量子遗传算法的频谱分配算法性能明显优于颜色敏感图论着色算法,它能更好地实现网络效益最大化;当用户数和频带数较少时,量子遗传算法在进化代数很少时就能找到理想最优解,而颜色敏感图论着色算法所得到的解与理想最优解偏差较大.

     

    Cognitive radio spectrum assignment based on quantum genetic algorithm is proposed, and simulations are conducted to compare the proposed method with color sensitive graph coloring algorithm. Results show that the proposed method greatly outperforms the color sensitive graph coloring algorithm as it better optimizes network utilization. The proposed method can find the optimal solutions after only several generations, while the relative differences between solutions obtained by color sensitive graph coloring algorithm and the optimal solutions are quite large.

     

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