• Km. Ankita
• Mrs. Aparna Singh Kushwah

Cognitive radio (CR) technology is an emerging technology that overcomes the scarcity and poor utilization of spectrum resources. Under the constraint of system energy, this paper puts forward a cooperative spectrum sensing algorithm to minimize the sensing overhead, considering the mutual relation between sensing duration and the number of cognitive users. This paper has introduced a convolutional neural network model that learns the channel data behavior when primary user transmit data or not. Estimated energy value from different secondary sources are used to train the convolutional neural network. Experiment was performed on different number of secondary user cases under AWGN, Rayleigh, Rician channel. Results were compared with existing methods on different evaluation parameters and it was obtained that proposed model perform well.

Cognitive Radio, Spectrum Sensing, Narrowband Sensing, Wideband Sensing, Compressive Sensing.

"Soft Fusion Combining For Cooperative Spectrum Sensing Using Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.153-162, June 2019, Available :http://www.jetir.org/papers/JETIR1908824.pdf

"Soft Fusion Combining For Cooperative Spectrum Sensing Using Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp153-162, June 2019, Available at : http://www.jetir.org/papers/JETIR1908824.pdf