2010•Unpublished venueRequires access

SNR-based weighted cooperative spectrum sensing in cognitive radio

Shuang Yang

Open publisher page 2 citations

Abstract

In cognitive radio systems,collaboration between cognitive users can improve the performance of spectrum sensing significantly.However,in a real enviornment,the SNR of each cognitive user is different,their local decisions also have different impacts on the final decision in fusion center.Therefore,a method of SNR-based weighted cooperative spectrum sensing is proposed.In this paper,we assign different weights to different users according to their SNRs,and change the energy thresholds of different users indirectly.Simulation results show that our method can get an improvement of the sensing performance.

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What this paper is about

In cognitive radio systems,collaboration between cognitive users can improve the performance of spectrum sensing significantly.However,in a real enviornment,the SNR of each cognitive user is different,their local decisions also have different impacts on the final decision in fusion center.Therefore,a method of SNR-based weighted cooperative spectrum sensing is proposed.In this paper,we assign different weights to different users according to their SNRs,and change the energy thresholds of different users indirectly.Simulation results show that our method can get an improvement of the sensing performance.

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Available abstract

In cognitive radio systems,collaboration between cognitive users can improve the performance of spectrum sensing significantly.However,in a real enviornment,the SNR of each cognitive user is different,their local decisions also have different impacts on the final decision in fusion center.Therefore,a method of SNR-based weighted cooperative spectrum sensing is proposed.In this paper,we assign different weights to different users according to their SNRs,and change the energy thresholds of different users indirectly.Simulation results show that our method can get an improvement of the sensing performance.

Key concepts: Cognitive radio, Fusion center, Computer science, Energy (signal processing), Spectrum (functional analysis), Cognition, Fusion rules, Telecommunications

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