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2011•Communications technologyRequires access

Cooperative Spectrum Sensing based on Threshold Control and SNR Selection

Huang Li-hui

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Abstract

Spectrum sensing is a key technology for achieving cognitive radio,while cooperation could eliminate the multi-path and shadow effect.Here,a method for cooperative spectrum sensing based on threshold control and SNR selection is proposed,in which the location information is employed to estimate the SNR,each CR user transmits the local detection result and estimates SNR for the fusion center,the threshold is used to do algorithm selection for SNR,and the CR user with better SNR is selected,and combined with energy detection method for judgement.Computer simulation results show that this method could increases the probability of detection and reduces the node number in decision fusion.

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What this paper is about

Spectrum sensing is a key technology for achieving cognitive radio,while cooperation could eliminate the multi-path and shadow effect.Here,a method for cooperative spectrum sensing based on threshold control and SNR selection is proposed,in which the location information is employed to estimate the SNR,each CR user transmits the local detection result and estimates SNR for the fusion center,the threshold is used to do algorithm selection for SNR,and the CR user with better SNR is selected,and combined with energy detection method for judgement.Computer simulation results show that this method could increases the probability of detection and reduces the node number in decision fusion.

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Available abstract

Spectrum sensing is a key technology for achieving cognitive radio,while cooperation could eliminate the multi-path and shadow effect.Here,a method for cooperative spectrum sensing based on threshold control and SNR selection is proposed,in which the location information is employed to estimate the SNR,each CR user transmits the local detection result and estimates SNR for the fusion center,the threshold is used to do algorithm selection for SNR,and the CR user with better SNR is selected,and combined with energy detection method for judgement.Computer simulation results show that this method could increases the probability of detection and reduces the node number in decision fusion.

Key concepts: Computer science, Cognitive radio, Fusion center, Shadow (psychology), Selection (genetic algorithm), Energy (signal processing), Node (physics), Detector

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