Improvement of Energy Detection Based Spectrum Sensing in Cognitive Radio Network Using Adaptive Threshold
Journal Title: IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) - Year 2018, Vol 13, Issue 2
Abstract
There is a huge demand for spectrum, but in conventional system radio spectrum is inefficiently used. To overcome this problem and improve spectrum utilization, cognitive radio concept has been proposed. Cognitive radio (CR) is the greatest mechanism for use spectrum efficiently. The main objective of CR is to use scarce and limited natural resources efficiently without any interference to the primary users. One of most challenging issues in cognitive radio systems is spectrum sensing concepts. There are various spectrum sensing techniques like matched filter detection, energy detection, cyclostationary detection, covariance detection and wavelet detection. Out of these techniques energy detection has got the most attention by the researchers due to its simplicity and low computational requirements. In this study we explain the Energy detection spectrum sensing method that still used in cognitive radio. Energy detection scheme has taken for spectrum sensing because it doesn’t require any prior information of the primary user (PU) signal, but the performance of energy detection scheme degrades at low signal to noise ratio (SNR) region. Since the performance of energy detection scheme highly depends on noise. In this paper, we have proposed an adaptive threshold for energy detection scheme to improve the detection performance at low SNR region. Our proposed adaptive threshold is a function of the detection threshold and SNR of the primary user received at the sensing node. Simulation results will show that the detection performance of our proposed scheme is much better than the fixed threshold based energy detector at low SNR region.
Authors and Affiliations
Md. Mehedi Hasan, Md. Mirajul Islam, Md. Imran Hussain, Sk. Mizanur Rahman
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