Performance Analysis of Cyclostationary Sensing in Cognitive Radio Networks
Abstract: Cognitive radio is one of the modern techniques for wireless communication systems to utilize the unused spread spectrum effectively. This novel paradigm makes wireless communication possible with less interference. In our work we have investigated one of the functions of cogni- tive radio called spectrum sensing. We have specifically used the method of Cyclostationary fea- ture detection. Spectrum sensing is also a very effective method to detect spectrum holes and to utilize them. We have implemented spectrum sensing technique in these experiments. A signal is randomly generated which could be Binary shift phase keying (BPSK) or Quadrature phase shift keying (QPSK), then this modulated signal is passed through Additive white Gaussian noise (AWGN), The output signal of AWGN is then passed to cyclostationary detector, various func- tions are pre-implemented inside cyclostationary detector and this includes Fast Fourier trans- form (FFT), Auto correlation, Sliding window to identify that signal. Finally we have demon- strated the results of signal to noise ratio to show the performance evaluation of our experiments. The results have shown a decreasing trend in the probability of incorrect detection by increasing signal to noise ratio.
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