Prediction of Spectrum Based on K-RBF Neural Network in Cognitive Radio
WU Jianron · Video Engineering · 2014
In this paper,a spectrum prediction algorithm with K-means clustering algorithm(K-RBF) is proposed.This algorithm could predict the spectrum holes according to the historical information of the licensed user's spectrum.It not only increases the veracity of spectrum sensing,but also improves the efficiency of spectrum sensing.Simulation results show that this prediction algorithm can predict the spectrum accessing of the licensed user accurately and the prediction error is only one-third of that of the RBF neural network.