一种基于熵函数的合作频谱感知方法

doi:10.12066/j.issn.1007-2861.2121

Abstract

Abstract:

In cognitive radio, the performance of the spectrum sensing method is closely related to the sensing scene. Research has shown that the Nakagami-Gamma (KG) fading channel model can reliably describe wireless communication channels. A cooperative sensing method based on the entropy function (BEF) is proposed for the sensing scene of heterogeneous nodes (a group of nodes with different performance factors such as sampling number, receiving signal-to-noise ratio (SNR), and geographical location) in the KG fading channel. First, the comprehensive evaluation scores of each node are calculated using the defined entropy function according to the different performance factors of heterogeneous nodes. Then, the nodes with high scores are selected for normalised energy detection. Finally, the OR criterion is used for fusion decision. Simulation results show that the proposed BEF method can effectively reduce the overhead of the sensing system, and the global detection probability is significantly improved when the target false alarm probability of each node is low ($P_{\rm f}<0.1$).

Key words: spectrum sensing, Nakagami-Gamma (KG) fading channel, heterogeneous nodes, entropy function

CLC Number:

TN929.5

REN Mengmeng, HU Yanfei, ZHAI Xuping. Cooperative spectrum sensing method based on entropy function[J]. Journal of Shanghai University（Natural Science Edition）, 2021, 27(1): 49-58.

Figures/Tables 6

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Cooperative spectrum sensing method based on entropy function

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[2]	PAN Jian-guo,ZHAI Xu-ping. Spectrum Sensing in Cognitive Radio Based on Energy Detection [J]. Journal of Shanghai University（Natural Science Edition）, 2009, 15(1): 54-59.