In this paper, we investigate the use of wavelet neural networks (WNN) in predicting future channel occupancy status. The proposed work builds upon existing ...

Abstract—Accurate Spectrum Prediction is a promising solu- tion to save sensing energy and time, it also helps to increase throughput in cognitive radio ...

Computer simulations show the effectiveness of using WNN in spectrum prediction as compared to previous works in literature, in terms of predictive accuracy ...

In this paper, we investigate the use of wavelet neural networks (WNN) in predicting future channel occupancy status. The proposed work builds upon existing ...

Spectrum prediction in cognitive radio systems using a wavelet neural network. Eltholth, Ashraf A. Details · Contributors · Fields of science · Bibliography ...

In this paper, we investigate the use of wavelet neural networks (WNN) in predicting future channel occupancy status. The proposed work builds upon existing ...

Spectrum Prediction Collision Avoidance technique and Convolutional Neural Network (CNN) used to predict the environment and make changes to the network ...

In this paper, a new class of optimization heuristics called hybrid optimization is used. This will implement two or more algorithms for the same optimization.

This work designs the spectrum predictor using the neural network model, multilayer perceptron (MLP), which does not require a prior knowledge of the ...

Abstract. With the progress and upgrade of wireless telecommunication technologies, the lack of spectrum resources is pretty serious.