Abstract
Cognitive radio (CR) provides better utilization of the spectrum by sensing the presence of free spectrum and assigning it to the unlicensed user temporarily when licensed users are not using the spectrum. Cyclostationary sensing method will be used here because it can differentiate between noise and the primary user (PU) signal. This technique is independent of the type of modulation used so at the receiver side no prior information on PU signal is required. Cyclostationary spectrum sensing is the preferred method for the sensing of multicarrier modulated signals, so also used for the sensing of OFDM signals and its standards. The aim of this project is to find the presence of a PU signal in a given spectrum. For this purpose probability of detection of the PU is calculated for various values of signal-to-noise ratio (SNR). Different OFDM modulated signals can also be differentiated using this method.
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Acknowledgements
This work has been carried out using the research facility created under DST-FIST supported, Department of ECE, SRM University, Chennai, India. This work was done under the NI-AWR sponsored Research Project, May 2016.
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Vijayakumar, P., George, J., Malarvizhi, S., Sriram, A. (2018). Analysis and Implementation of Reliable Spectrum Sensing in OFDM Based Cognitive Radio. In: Satapathy, S., Bhateja, V., Das, S. (eds) Smart Computing and Informatics . Smart Innovation, Systems and Technologies, vol 77. Springer, Singapore. https://doi.org/10.1007/978-981-10-5544-7_55
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DOI: https://doi.org/10.1007/978-981-10-5544-7_55
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