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基于二进制人工蜂群算法的认知无线电决策引擎 被引量：5

Cognitive radio decision engine based on binary artificial bee colony algorithm
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摘要 为实现认知无线电系统参数的自适应调整功能,提出了一种基于二进制人工蜂群算法的认知无线电决策引擎。将认知无线电决策问题转化为多目标函数优化问题,并采用加权和方法将复杂的多目标函数优化问题归一化为简单的单目标函数优化问题。采用二进制人工蜂群算法对此优化问题进行求解,实现对无线电系统参数的优化调整。最后,通过一种多载波系统对算法性能进行仿真分析,仿真结果验证了该算法的有效性和实用性。 In order to achieve a parameters adjusting capability adaptive in cognitive radio,a cognitive decision engine based on binary artificial bee colony algorithm is proposed,in which the issue of cognitive decision engine is turned into a multiple objective functions optimization problem.These objective functions can be combined into one single objective function by using a simple weighted sum approach.Then the optimization problem is solved and the cognitive radio parameters adjusting capability is achieved by binary artificial bee colony algorithm.A multi-carrier system is provided for the performance analysis to verify the effectiveness and usefulness when applying the proposed scheme.
作者 李鑫滨 石爱武
机构地区 燕山大学工业计算机控制工程河北省重点实验室
出处 《燕山大学学报》 CAS 2012年第5期439-444,共6页 Journal of Yanshan University
基金 国家自然科学基金资助项目(61172095) 河北省自然科学基金资助项目(F2012203138)
关键词 二进制人工蜂群算法 认知无线电 认知引擎 决策引擎 binary artificial bee colony algorithm cognitive radio cognitive engine decision engine
分类号 TN014 [电子电信—物理电子学]
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参考文献12

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二级参考文献23

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共引文献54

同被引文献47

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引证文献5

二级引证文献14

燕山大学学报
2012年 第5期

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