Knowledge of propagation characteristics in the mobile channel is important to the design of a cellular system. In this paper, three path loss models were used to predict path loss for the UMTS, in Istanbul, Turkey. Used models are Advanced Okumura-Hata model and Algorithm 9999 from the empirical path loss model class and Advanced Walfisch-Ikegami model from the deterministic path loss model cl...

A correction to this paper has been published: https://doi.org/10.1007/s13042-021-01350-4

This paper presents an alternative procedure for the prediction of propagation path loss in urban environments. It is based on Neural Network (NN) algorithms and uses the detailed environment profile instead of the mean values of its structural parameters. The general performance of the NN shows its effectiveness to yield results with satisfactory accuracy in short time. The received results ar...

This paper presents a new neural network based approach to the prediction of mobile locations using signal strength measurements in a simulated metropolitan area. The prediction of a mobile location using propagation path loss (signal strength) is a very difficult and complex task. Several techniques have been proposed recently mostly based on linearized, geometrical and maximum likelihood meth...

Mathematical models for the prediction of company failure are by now well established . Most of the work on multivariate modelling of distress prediction attempts to obtain a score that gives the failure probability of a company. A data set of 66 Spanish banks , 29 of which failed , is used to show that multidimensional scaling (MDS) techniques can be of use to produce simple tools for the anal...

In this paper, tuning of COST-231 Hata prediction method has been carried out based on experiments at 2.3 GHz using WiMAX transmissions conducted in western India. Fine tuning of the model is carried out using large number of measurement records to increase the accuracy of the prediction. The parameters of this model are tuned based on a linear iterative tuning method. The path loss predictions...

Hierarchical classification is critical to knowledge management and exploration, as in gene function prediction and document categorization. In hierarchical classification, an input is classified according to a structured hierarchy. In a situation as such, the central issue is how to effectively utilize the inter-class relationship to improve the generalization performance of flat classificatio...

In this paper, two-dimensional percolation lattices are applied to describe wireless propagation environment, and stochastic rays are employed to model the trajectories of radio waves. We first derive the probability that a stochastic ray undergoes certain number of collisions at a specific spatial location. Three classes of stochastic rays with different constraint conditions are considered: s...