Ordinary least squares in COST 231 Hata key parameters optimization base on experimental data

In this paper authors designed an application to increase the coverage path loss prediction. Nowadays there are a lot of the empirical and semi-empirical of radio propagation models. The models show the behavior of the radio signal spreading through the space. In this article, the COST 231 Hata model was considered. The model was made for the specific geographical location and electromagnetic conditions of the Earth. The main problem of the model is by using it in different places with different electromagnetic conditions and geographical locations. Because of these conditions, the model is not applied for different places. Authors was developed an application to increase the accuracy of path-loss prediction. The mobile application based on Android was developed to get information about signal strength and GSP location. To increase the accuracy authors used the linear regression method called Ordinary Least Squares.