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基于概率密度估计的认知无线电动态频谱接入算法
A Dynamic Spectrum Access Algorithm Based on Probability Density Estimation in Cognitive Radio
【摘要】 提出一种基于概率密度估计的动态频谱接入算法,通过由支持向量机拟合出的授权频段空闲时长的概率密度对信道状态进行评估,认知无线电用户根据信道状况选择接入.该算法可以进行自适应调整,具有良好的实用性与灵活性.仿真结果表明,所提出的算法可以有效降低信道的冲撞率,同时提高认知无线电用户的吞吐量和服务质量.
【Abstract】 A dynamic spectrum access algorithm based on probability density estimation is proposed to estimate the probability density of spectrum idle duration with support vector machines and evaluate the channel states,and cognitive radio users access the channel according to the states.This practicable and flexible algorithm can be adjusted adaptively.Simulation shows that the proposed algorithm significantly reduces disruptions to primary users and improves the throughout as well as the quality of service of cognitive radio users.
【关键词】 动态频谱接入;
认知无线电;
概率密度估计;
支持向量机;
【Key words】 dynamic spectrum access; cognitive radio; probability density function estimation; support vector machine;
【Key words】 dynamic spectrum access; cognitive radio; probability density function estimation; support vector machine;
【基金】 国家自然科学基金项目(60772110)
- 【文献出处】 北京邮电大学学报 ,Journal of Beijing University of Posts and Telecommunications , 编辑部邮箱 ,2009年01期
- 【分类号】TN92
- 【被引频次】27
- 【下载频次】663