Statistical adjustment of Walfisch-Ikegami model based in urban

Some theoretical and experimental models have been considered for the prediction of the path loss in systems of mobile communications. The Bertoni-Walfisch model for the effect of building with almost uniform height and are aligned. In this paper, a statistical model that consists of an adjustment of Walfisch-Ikegami model accomplished trough linear regression is presented, considering the height and the distance of the buildings as random variables. The verification of the validity of the considered model was made from the comparison between simulated measures and gotten through a measurement campaign that was carried in an urban environment.