Cooperative Sensing With Joint Energy and Correlation Detection in Cognitive Radio Networks

Cooperative Sensing With Joint Energy and Correlation Detection in Cognitive Radio Networks
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DOI:
10.1109/lcomm.2016.2613858
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发表时间:
2017
期刊:
IEEE Communications Letters
影响因子:
--
通讯作者:
Morteza Tavana;A. Rahmati;V. Shah-Mansouri;B. Maham
Morteza Tavana;A. Rahmati;V. Shah-Mansouri;B. Maham
中科院分区:
其他
文献类型:
--
作者:
Morteza Tavana;A. Rahmati;V. Shah-Mansouri;B. Maham

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认知无线电网络(CRN)是解决频谱短缺问题的一个很有前途的解决方案。频谱感测在使这种场景实用化方面起着关键作用。在这封信中,我们提出了一个解决方案的问题,频谱感知的CRNs,旨在提高性能的合作频谱感知。我们设计了一个合作的频谱感知与检测的基础上两个汇总统计,包括能量和一阶相关的接收样本的信号。检测概率和虚警概率作为评价CRN性能的标准。性能评估是通过模拟。实验结果表明,该方法显著提高了协作频谱感知中的检测性能.与传统的能量检测方法相比,该方法大大降低了误检概率。
Cognitive radio networks (CRNs) are a promising solution to address the spectrum shortage issue. Spectrum sensing plays a key role to make such a scenario practical. In this letter, we propose a solution for the problem of spectrum sensing in CRNs aiming to increase the performance of the cooperative spectrum sensing. We design a cooperative spectrum sensing with detection based on two summary statistics, including energy and first-order correlation of the received samples of the signal. The probabilities of detection and false alarm are obtained as criteria for evaluating the performance of the CRNs. The performance evaluation is presented through simulations. The results show that the proposed method significantly improves the detection performance in cooperative spectrum sensing. It also highly decreases the probability of miss-detection in comparison with the traditional energy detection method.