基于层次聚类的认知无线电软硬结合协同频谱感知

2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2017-04-01 DOI:10.1109/CCECE.2017.7946839

Noor Salout, Faroq A. Awin, Abeer F. Alqawasmeh, E. Abdel-Raheem

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引用次数: 7

摘要

本文采用软硬结合的方法，提出了一种基于分层聚类的频谱感知算法。该算法在满足虚警约束的前提下，最大限度地提高了检测性能。给出了该算法的仿真结果，并与现有算法在Nakagami衰落信道上进行了比较。实验结果表明，该算法优于现有算法。

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Hierarchical cluster-based cooperative spectrum sensing in cognitive radio employing soft-hard combination

In this work, a soft-hard combination is employed to propose a hierarchical cluster based spectrum sensing algorithm. The proposed algorithm maximizes the detection performances while satisfying the probability of false alarm constraint. Simulation results of the proposed algorithm are presented and compared with existing algorithms over the Nakagami fading channel. Moreover, the results show that the proposed algorithm outperforms the existing algorithms.

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来源期刊

2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)

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