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Artifical neural network based multi dimensional spectrum sensing in full duplex cognitive radio networks
Published in Institute of Electrical and Electronics Engineers Inc.
Volume: 2018-January
Pages: 307 - 312
Cognitive Radio is the prime key for spectrum shortage and used to detect the unused spectrum by a way of multidimensional spectrum sensing concept. Though Spectrum sensing applies a huge load of energy, it can be shortened by utilizing different artificial neural network methods for determining proper spectrum vacancy. This work focuses the implementation of neural network by means of Levenberg-Maquardt algorithm in case of an energy detector in single and multi channel. It is used to solve a set of objective functions with minimum iterations and increases the efficiency of cognitive radio network (CRN). © 2017 IEEE.