SVM-based prediction of spectrum idle rate in cognitive radio systems
Hongya Li · Modern Electronics Technique · 2015
A construction method of SVM- based prediction model for the spectrum idle rate in cognitive radio systems is proposed according to the non-linear characteristics of carrier frequency idle rate time sequence of GSM system. To enhance the prediction accuracy of the model,the data sequence is reconstructed according to the holiday and daily- cycle properties,and feature analysis of the idle rate time sequence of GSM system. The simulation results show that the proposed model has more accurate prediction in workday and weekend than the prediction model based on neural network. The absolute percentage error of its prediction is within 4.