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A Survey of Spectrum Sensing Algorithms The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey
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基于信道的历史信息来预测不同信道的未来可用时间可以帮助CR选择一个最佳信道进行信息传递。不同的预测准则应用到周期或是随机的开关模式中。一个CR可以学习以往不同信道的模式。我们提出一个简单的分类和学习方法去检测模式的类型和收集需要的信息用于智能信道的选择。MATLAB仿真结果显示提出的方案在随机信道的随机和周期模式中都有优越的表现。随着时间的变化，新到的切换次数减少到55 ，并且延迟时间也相应减少，而吞吐量却在提高。-Prediction of future availability times
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The spectrum sensing problem has gained new
aspects with cognitive radio and opportunistic spectrum access
concepts. It is one of the most challenging issues in cognitive
radio systems. In this paper, a survey of spectrum sensing
methodologie
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认知无线电网络中的频谱聚合技术，提出自己的想法和观点。-Cognitive radio network spectrum aggregation technology, put forward their own ideas and opinions.
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neural network used for spectrum prediction using genetic algo in cognitive radio network
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