| 认知无线电中基于混沌神经网络的频谱预测 |
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| 引用本文： | 鲜永菊,杨钺,徐昌彪,郑湘渝.认知无线电中基于混沌神经网络的频谱预测[J].计算机应用,2011,31(12):3181-3183. |
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| 作者姓名： | 鲜永菊 杨钺 徐昌彪 郑湘渝 |
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| 作者单位： | 1. 重庆邮电大学 通信与信息工程学院，重庆 400065
2. 重庆市电力公司 城区供电局，重庆 400015 |
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| 基金项目： | 国家自然科学基金资助项目，重庆市教委2009年项目，重庆大学研究生创新重点项目(200904B1 A0010306):重庆市教委科学技术研究项目 |
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| 摘 要： | 为了在认知无线电系统中提高频谱的利用率，减少切换次数，提出一种针对信道状态剩余时长的混沌神经网络预测机制，利用混沌预测对信道剩余时长进行分析并作出预测。仿真结果显示，预测精度可以达到90%以上，从而验证了此预测机制的有效性。
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| 关 键 词： | 认知无线电系统 频谱预测 混沌神经网络 频谱分配 信道状态 |
| 收稿时间： | 2011-05-12 |
| 修稿时间： | 2011-06-27 |
Spectrum usage prediction based on chaotic neural network model for cognitive radio system |
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| XIAN Yong-ju,YANG Yue,XU Chang-biao,ZHENG Xiang-yu.Spectrum usage prediction based on chaotic neural network model for cognitive radio system[J].journal of Computer Applications,2011,31(12):3181-3183. |
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| Authors: | XIAN Yong-ju YANG Yue XU Chang-biao ZHENG Xiang-yu |
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| Affiliation: | 1. School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2. Urban Power Supply Bureau, Chongqing Electric Power Corporation, Chongqing 400015, China |
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| Abstract: | In order to improve spectrum usage in Cognitive Radio System (CRS), and reduce channel switching frequency, a new prediction mechanism was designed, which was used chaotic neural network to analyze and predict the last time of channel status. Simulation results show that the prediction accuracy can reach 90%, thus the effectivess of this new prediction mechanism was proved. |
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| Keywords: | cognitive radio system chaos neural network spectrum prediction spectrum allocation channel status |
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