Cognitive radio spectrum allocation using evolutionary algorithms
Cognitive radio spectrum allocation using evolutionary algorithms
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DOI：
10.1109/twc.2009.080939
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发表时间：
2009-09
影响因子：
10.4
通讯作者：
Zhijin Zhao;Zhen Peng;Shilian Zheng;J. Shang
中科院分区：
文献类型：
--
作者：
Zhijin Zhao;Zhen Peng;Shilian Zheng;J. Shang
认知无线电被认为是一种有前途的技术，可以显著提高频谱利用率。本文首先提出了频谱分配模型，然后提出了基于遗传算法（GA）、量子遗传算法（QGA）和粒子群优化（PSO）的频谱分配方法。为了减小搜索空间，基于信道可用性矩阵的特点和干扰约束条件，提出了信道分配矩阵与遗传算法、QGA算法的染色体和粒子群算法的粒子位置之间的映射过程。结果表明，我们提出的方法大大优于常用的颜色敏感图着色算法。
Cognitive radio has been regarded as a promising technology to improve spectrum utilization significantly. In this letter, spectrum allocation model is presented firstly, and then spectrum allocation methods based on genetic algorithm (GA), quantum genetic algorithm (QGA), and particle swarm optimization (PSO), are proposed. To decrease the search space we propose a mapping process between the channel assignment matrix and the chromosome of GA, QGA, and the position of the particle of PSO, respectively, based on the characteristics of the channel availability matrix and the interference constraints. Results show that our proposed methods greatly outperform the commonly used color sensitive graph coloring algorithm.