A DYNAMIC CHANNEL ALLOCATION TECHNIQUE BASED ON HOPFIELD NEURAL NETWORKS

The interest in global spectrum allocation techniques is growing with the always increasing spectrum demand for mobile communications, Howev er, the best algorithms suffer from high computational times that redu ce the possibility of a practical implementation, This paper deals wit h a dynamic channel allocation (DCA) technique based on an energy func tion whose minimization gives the optimal allocation, Due to the parti cular formulation of such an energy function, the minimization can be performed by a Hopfield neural network for which a fast hardware imple mentation has been recently proposed in the literature, The performanc e of the proposed DCA technique is here derived by computer simulation s, Comparisons with a classical fixed allocation technique (FCA) and a different DCA technique are shown to highlight the better performance of the proposed DCA technique.