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Joint spectrum sensing and user selection strategy for cognitive radio networks

机译:认知无线电网络的联合频谱感知和用户选择策略

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In this paper, a joint spectrum sensing and user selection strategy based on energy detection through data fusion is investigated, considering the weight vector, the sensing time and the optimal user set. The optimal sensing time and the weight vector for data fusion are calculated by equivalent transformation algorithm. Moreover, the user selection strategy based on Modified Deflection Coefficient (MDC) with low complexity is proposed, from which the optimal number and the user set are obtained to provide sufficient protection to the primary user and improve the total throughput of the cognitive radio network. The simulation results show that the optimal number of cognitive radios and maximal normalized sensing throughput can be obtained by the proposed method.
机译:本文研究了一种基于能量融合和能量选择的联合频谱感知和用户选择策略,其中考虑了权向量,感知时间和最优用户集。通过等效变换算法计算出最优的融合时间和权向量。此外,提出了一种基于复杂度低的改进偏转系数(MDC)的用户选择策略,从中获得最优数目和用户集,为主要用户提供足够的保护,提高认知无线电网络的总吞吐​​量。仿真结果表明,该方法能够获得最优的认知无线电数量和最大的归一化感知吞吐量。

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