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User Identification Methods in Cognitive Radio Networks

机译:认知无线电网络中的用户识别方法

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Spectrum sensing is the process of detection of the user whether it is present or absent. Spectrum Sensing is the key role in Cognitive Radio (CR) Networks and thus improving spectrum utilization. The major issues that may arise in spectrum sensing are Probability of false alarm (P_(fa)) and Probability of miss detection (P_(md)). An analytical comparison is proposed between two of Non-Cooperative detection methods in the spectrum sensing. In this paper, an attempt is made to identify a better detection method based on high Probability Detection (P_D).
机译:光谱感测是检测用户是否存在或不存在的过程。光谱感测是认知无线电(CR)网络中的关键作用,从而提高了频谱利用率。在频谱感测中可能出现的主要问题是假警报(P_(FA))的概率和错过检测的概率(P_(MD))。在频谱感测中的两种非协作检测方法之间提出了分析比较。在本文中,尝试基于高概率检测(P_D)来识别更好的检测方法。

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