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Spectrum Detection in Cognitive Networks by Minimizing Hidden Terminal Problem

机译:最小化隐藏终端问题的认知网络频谱检测

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摘要

In the wireless network, the node is visible but is not available for communication. Similarly, the primary signal is present and difficult to detect. The primary signal problem is similar to hidden node problem, but currently interpreted as false alarms. In this research, two models (probability based and Drake's equation) were designed and tested through simulations. The results show that Drake's equation with probability-based model performs better than basic probability-based model to detect the hidden signal.
机译:在无线网络中,该节点是可见的,但不可用于通信。类似地,存在主要信号并且难以检测。主要信号问题类似于隐藏节点问题,但当前被解释为错误警报。在这项研究中,设计了两个模型(基于概率的模型和Drake方程),并通过仿真进行了测试。结果表明,基于概率的模型的Drake方程在检测隐藏信号方面比基于概率的基本模型表现更好。

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