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Cognitive radio is a low-cost communication system, which can choose the available frequencies and waveforms automatically on the premise of avoiding interfering the licensed users. The spectrum sensing is the key enabling technology in cognitive radio networks. It is able to fill voids in the wireless spectrum and can dramatically increase spectral efficiency.
In this book, we will know the techniques to minimize the energy consumption and we will use MATLAB to simulate the received signals from the cognitive radio networks and an energy detector to detect whether the spectrum is being used. The project also compares the theoretical value and the simulated result and then describes the relationship between the signal to noise ratio (SNR) and the detections, and the result will show that with the increasing of the SNR (from 10 dB to 0) the detections we get also increased and within 7 dB and 5 dB, the increasing slope is the largest. So, the SNR influences the detections. It indicates that with the increasing of the SNR, the more spectrums which are occupied we can detect. At last, we will be talking about the future work.
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