Energy Detection of Spectrum Sensing for Cognitive Radio Networks Using GFDM Modulation

Abstract

Generalized frequency division multiplexing (GFDM) is a non orthogonal, digital multicarrier transmission scheme with attractive features that address the requirements of emerging applications of wireless communication systems like cognitive radio and fifth generation (5G). In this study, we analysis and evaluate the spectrum sensing performance of a GFDM based cognitive radio networks over additive white Gaussian noise (AWGN) and Rayleigh fading channels. To improve the spectral utilization, the energy detection method for spectrum sensing is considered. The performance of the proposed system model is investigated and presented through the receiver operating characteristic (ROC) curves. The results show the validity of the recent multi carrier modulation technique, GFDM for cognitive radio networks, and point out the confirmation of the better sensing performance compared to the conventional ones.