Heterogeneous Spectrum Sensing in Cognitive Radio Network using Enhanced Energy Detection and Matched Filter

Abstract

Abstract

One of the most predominant aspect in cognitive radio networks is spectrum sensing which allows a secondary user (unlicensed user) to detect the presence or absence of a primary user (licensed user). A number of sensing techniques have been proposed in the past. In order to achieve a high spectrum efficiency, the compatibility of the common spectrum detection techniques primarily used such as energy detection and matched filter are employed in a heterogeneous manner with changing number of secondary users using each technique. To combat the performance of traditional energy detector in low SNR region enhanced energy detection is used which uses average energy of the received signal over the past instances to make a decision at the local node. Finally, a centralized cooperative spectrum sensing technique is employed which uses hard combination at the fusion centre. We have developed a simulation model to show that the spectrum sensing performance in AWGN channel is improved under the proposed scheme as opposed to the conventional method.

 Keywords: cognitive radio, spectrum sensing, energy detection, ROC, matched filter

Cite this Article

Shahbaz Soofi, Anjali Potnis, Pranav Thapak et al. Heterogeneous Spectrum Sensing in Cognitive Radio Network using Enhanced Energy Detection and Matched Filter. Trends in Opto-Electro & Optical Communications. 2017; 7(3): 35–42p