Performance Analysis of Hybrid Fusion in Cognitive Radio Networks

Man Man Guo; Yun Xue Liu; Wen Qiang Fan

doi:10.4028/www.scientific.net/AMM.479-480.1027

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 479-480Performance Analysis of Hybrid Fusion in Cognitive...

Performance Analysis of Hybrid Fusion in Cognitive Radio Networks

Abstract:

Spectrum sensing is a crucial issue in cognitive radio networks for primary user detection. Cooperative sensing based on energy detection in the cognitive radio network with multiple antennas base-station is considered in this letter. To improve the sensing performance, we investigate hybrid fusion of the observed energies from the base-station and decisions (1bit, hard information) from different cognitive radio (CR) users around the base-station. Further, we present an optimized scheme where the global detection probability can be maximized according to the Neyman-Pearson criterion. Finally the impact of the change of parameters (Signal to Noise Ratio and number of CR users) in the optimized scheme is analyzed. Numerical simulations and extensive analysis confirm that hybrid fusion base on the optimized scheme is a good choice, also, Signal to Noise Ratio (SNR) and number of CR users does not have influence on the optimized scheme

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Periodical:

Applied Mechanics and Materials (Volumes 479-480)

Pages:

1027-1031

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.479-480.1027

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Online since:

December 2013

Authors:

Man Man Guo, Yun Xue Liu, Wen Qiang Fan

Keywords:

Cognitive Radio (CR), Hybrid Fusion, Optimum Local Threshold, Robustness

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