• Suraj Pillai
• Mrs. Aparna Singh Kushwah

The primary issue in the society is the need for efficient utilization of spectrum in wireless environment. The growing era of mobile environment needs a dynamic spectrum access (DSA) scheme that uses the spectrum in an opportunistic way. The goal of DSA is to utilize the spectrum holes by an unlicensed user without causing interference to the licensed user. This paper has proposed a neural network based cognitive radio network spectrum sensing. Input for training of Error Back Propagation Neural Network is sensed energy value by secondary users and class of channel (either occupied or free). Here soft fusion center received secondary user sensed energy value data in case of testing of neural network. Experiment is done on different number of secondary users and results were compared with existing methods on the basis of different evaluation parameters. It proposed work values are better as compared to previous approaches.

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

"Secondary User Cognitive Radio Spectrum Sensing Using Error Back Propagation Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.771-777, June-2019, Available :http://www.jetir.org/papers/JETIR1907T83.pdf

"Secondary User Cognitive Radio Spectrum Sensing Using Error Back Propagation 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. pp771-777, June-2019, Available at : http://www.jetir.org/papers/JETIR1907T83.pdf