Modelo estatístico para aplicações no planejamento de sistemas móveis celulares em ambiente indoor multifontes

Abstract

The project of systems of mobile communications requires the knowledge of the environment where it will be implemented. For so much, the accuracy is looked for in the prediction of propagation of the signal through the use of prediction models. The present work proposes an empirical model for estimating of the signal strength received in indoor environments that presents more than indoor transmitter source, using Distributed Antennas Systems (DAS). The method presents a generalization for the case of multiple sources, also called multisources and as particular case to only one source. The modeling is made through the use of radial go away of each transmitter, with aim to consider the variability of the signal in indoor environments. These some disturbances in the signal, that they cause fast fading; they are characterized through the statistical distributions of fading. The most used as of Rayleigh, Rice and Nakagami are presented for characterization of the channel; besides the distributions recently developed are calculated, so Kappa-mi and Eta-mi. For the validation of the model, campaigns of measurements in shopping center were made, where possesses one DAS, with the test in two distinct environments, a supermarket and a feeding square. The simulations are carried out through using the software MATLAB® and the performance of the results evaluated through the calculation of the absolute error, standard deviation and rms error.