Distributed Cooperative Spectrum Sensing Algorithm Based on Average Consensus

Yong Xiu Feng; Ai Qin Bao; Deng Yin Zhang

doi:10.4028/www.scientific.net/AMM.713-715.1090

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Distributed Cooperative Spectrum Sensing Algorithm...

Distributed Cooperative Spectrum Sensing Algorithm Based on Average Consensus

Abstract:

The existing distributed spectrum sensing algorithms usually assume that the information in interaction channel is totally correct and did not consider noise effect. To solve these problems, a new distributed cooperative spectrum sensing scheme based on average consensus is investigated in this paper. Based on minimum mean square deviation criterion, we design an iterative matrix suitable for consensus algorithm with considering the noise of interaction channel. Simulation results show that the proposed method achieves better detection performance under noise effect of interaction channel and outperforms conventional scheme by 11% at-5dB signal to noise ratio (SNR) and 0.1 false alarm probability.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

1090-1093

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.1090

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Online since:

January 2015

Authors:

Yong Xiu Feng*, Ai Qin Bao, Deng Yin Zhang

Keywords:

Average Consensus, Cognitive Radio, Distributed Cooperative Spectrum Sensing

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