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2011•Journal of Computer ApplicationsRequires access

Agent-based cooperative spectrum sensing algorithm

Hui Xiao-wei

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Abstract

To improve the spectrum sensing performance of cognitive radio technology,in this paper,a new Agent-based cooperative spectrum sensing algorithm was proposed.This algorithm used multiple local energy detection threshold in the local detection,while the Signal-to-Noise Ratio(SNR) estimated by the cognitive user was sent to the main control center of Agent,then the control center based on SNR and the distance between the transmitter and cognitive nodes to balance,to select the cognitive nodes with high reliability and validity of to decision fusion.The simulation results show that the algorithm can improve the cooperative spectrum sensing capabilities of cognitive radio networks,and at the same time reduce the number of nodes involved in the original perception of cooperative sensing algorithm to some extent.

About this research paper

What this paper is about

To improve the spectrum sensing performance of cognitive radio technology,in this paper,a new Agent-based cooperative spectrum sensing algorithm was proposed.This algorithm used multiple local energy detection threshold in the local detection,while the Signal-to-Noise Ratio(SNR) estimated by the cognitive user was sent to the main control center of Agent,then the control center based on SNR and the distance between the transmitter and cognitive nodes to balance,to select the cognitive nodes with high reliability and validity of to decision fusion.The simulation results show that the algorithm can improve the cooperative spectrum sensing capabilities of cognitive radio networks,and at the same time reduce the number of nodes involved in the original perception of cooperative sensing algorithm to some extent.

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Available abstract

To improve the spectrum sensing performance of cognitive radio technology,in this paper,a new Agent-based cooperative spectrum sensing algorithm was proposed.This algorithm used multiple local energy detection threshold in the local detection,while the Signal-to-Noise Ratio(SNR) estimated by the cognitive user was sent to the main control center of Agent,then the control center based on SNR and the distance between the transmitter and cognitive nodes to balance,to select the cognitive nodes with high reliability and validity of to decision fusion.The simulation results show that the algorithm can improve the cooperative spectrum sensing capabilities of cognitive radio networks,and at the same time reduce the number of nodes involved in the original perception of cooperative sensing algorithm to some extent.

Key concepts: Cognitive radio, Fusion center, Computer science, Reliability (semiconductor), Transmitter, Spectrum (functional analysis), Algorithm, Signal-to-noise ratio (imaging)

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