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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
引用本文:贺新颖,曾志民,郭彩丽.基于概率密度估计的认知无线电动态频谱接入算法[J].北京邮电大学学报,2009,32(1):108-112.
作者姓名:贺新颖  曾志民  郭彩丽
作者单位:北京邮电大学,信息与通信工程学院,北京,100876
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.

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
收稿时间:2008-7-9
修稿时间:2008-12-2

A Dynamic Spectrum Access Algorithm Based on Probability Density Estimation in Cognitive Radio
HE Xin-ying,ZENG Zhi-min,GUO Cai-li.A Dynamic Spectrum Access Algorithm Based on Probability Density Estimation in Cognitive Radio[J].Journal of Beijing University of Posts and Telecommunications,2009,32(1):108-112.
Authors:HE Xin-ying  ZENG Zhi-min  GUO Cai-li
Affiliation:School of Information and Communication Engineering;Beijing University of Posts and Telecommunications;Beijing 100876;China
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 will significantly reduces disruptions to primary users and improves the throughout as well as the quality of service of cognitive radio users.
Keywords:dynamic spectrum access  cognitive radio  probability density function estimation  support vector machine  
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