A new microcell prediction model based on the arrangement of the streets and their types

A new microcell prediction model is presented in this paper. Utilizing this model some important disadvantages of known statistical microcell prediction models can be overcome, especially for the prediction under NLoS (Non-Line-of-Sight) conditions. The model itself is based on the arrangement of the streets and their types. The five submodels are defined in accordance with the classification of the streets. A separate pathloss curve is determined over measurement data for each submodel. In order to build the model, extensive electric field level measurements (in the 900 MHz frequency band) were carried out in the city of Belgrade, for two test transmitter locations. The comparison between the data obtained by the proposed electric field level prediction model and the independent measurement sets, have shown that the proposed model is accurate and reliable. At the same time, the algorithm is suitable for computer implementation, and is simple and fast.