This paper is dealing with a new approach for the performance evaluation of symmetrical wire pairs of telecommunications access networks. In this method the determination of the available data transmission rates is performed by fuzzy inference systems. The telecommunications environment and the physical parameters that influence the transmission are briefly reviewed. Two methods used for the creation of the rule bases and an easy way for the evaluation for the observations of the physical system are presented.
A novel approach is presented which is able to predict the available maximal data transfer rate of SHDSL connections from measured frequency dependent electrical parameters of wire pairs. Predictions are made by a fuzzy inference system. The basis of the operable and tested method will be introduced, then an improved version is shown, in which the problems derived from sampling of continuous functions of electrical parameters are eliminated by wavelet transformation. Also possibilities for simplification of the problem and a way of reducing the dimensions of the applied rule bases are presented. As the set of the measured data leads to sparse rule bases, handling of sparseness is unavoidable. Two different ways-fuzzy interpolation and various membership functions-will be introduced. The presented methods were tested by measurements in real telecommunications access networks.
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