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Throughput comparison for Cognitive Radio network under various conditions of primary user and channel noise signals

机译:不同主要用户和信道噪声信号条件下认知无线电网络的吞吐量比较

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Spectrum scarcity is increasing with the growing demand of number of wireless technologies and services. Cognitive Radio (CR) techniques have become reliable solution for solving spectral congestion problem. For utilization of unused electromagnetic spectrum in a cognitive radio network, it is necessary for secondary users to monitor the available spectrum (allocated to primary users) and identify the free spectrum (spectrum holes). In this paper primary user signal and channel noise conditions are discussed. Earlier literature has worked on one of these conditions. What are these conditions? Primary user signal and channel noise can be real valued signal or complex valued signal. There modulation schemes may also be different. In this paper classification of primary user signal and channel noise is discussed. The probability of false alarm, probability of detection and throughput of secondary network (user) is calculated and a comparison of throughput of secondary user for different conditions of primary user signal and channel noise is being presented.
机译:随着对无线技术和服务数量需求的增长,频谱稀缺性也在增加。认知无线电(CR)技术已成为解决频谱拥塞问题的可靠解决方案。为了在认知无线电网络中利用未使用的电磁频谱,次要用户必须监视可用频谱(分配给主要用户)并识别自由频谱(频谱空洞)。本文讨论了主要用户信号和信道噪声情况。早期文献研究了其中一种情况。这些条件是什么?主要用户信号和信道噪声可以是实值信号或复值信号。那里的调制方案也可能不同。本文讨论了主要用户信号和信道噪声的分类。计算了虚假警报的概率,检测概率和辅助网络(用户)的吞吐量,并针对主要用户信号和信道噪声的不同条件,给出了辅助用户的吞吐量的比较。

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