Increasing Spectrum Sensing Accuracy by Improved Energy Detector in Cognitive Radio Communication Networks

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Abstract

Energy detector is a simple detector for spectrum sensing in cognitive radio networks, and is used widely in wireless communication systems. In this paper, an improved energy detector for spectrum sensing is investigated. Improved energy detector makes decisions about spectrum, based on calculation of the optimal norm of received signal’s samples. In order to reduce the interference and improve the spectrum reuse, an optimum threshold for the improved energy detector is obtained. Throughput is an important factor in cognitive radio networks, which shows the effectiveness of a network. Numerical results show the throughput increases by using improved energy detector compared to the traditional energy detector.

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