TY  - JOUR
T1  - Algorithm and Software Based on MLPNN for Estimating Channel Use in the pectral Decision Stage in Cognitive Radio Networks
AU - Viveros, Johana Hernandez AU - Sarmiento, Danilo Lopez 
JO  - International Journal of System Signal Control and Engineering Application
VL  - 10
IS  - 1
SP  - 1
EP  - 6
PY  - 2017
DA  - 2001/08/19
SN  - 1997-5422
DO  - ijssceapp.2017.1.6
UR  - https://makhillpublications.co/view-article.php?doi=ijssceapp.2017.1.6
KW  - secondary user
KW  -primary user
KW  -prediction
KW  -neural network
KW  -Cognitive radio
AB  - The use of the Multilayer Perceptron Neural Networks (MLPNN) technique is proposed to estimate the future state of use of a licensed channel by Primary Users (PUs), this will be useful at the spectral decision stage in Cognitive Radio Networks (CRN) to determine approximately in which time instants of future may Secondary Users (SUs) opportunistically use the spectral bandwidth to send data through the primary wireless network. To validate the results they were generated by simulation, channel occupancy data sequences. The results show that the prediction percentage is >60% in some of the tests carried out.
ER  -