In urban areas, wireless communications suffer from severe fading due to reflections and diffraction of waves from buildings and mobility of receivers. Hence, in design of wireless networks, we need a model to predict propagation channels, in order to determine communic
More
In urban areas, wireless communications suffer from severe fading due to reflections and diffraction of waves from buildings and mobility of receivers. Hence, in design of wireless networks, we need a model to predict propagation channels, in order to determine communication methods between transmitters and receivers. Most of current mobile wireless communication models are based on measurements. In this paper, we want to introduce a new statistical physical model in which buildings are considered as a fixed part of the model and the phenomena of diffraction and reflection are modeled using the uniform theory of diffraction (UTD).On the other hand, the receiver in this model is considered as a car. The position of this car is predicted using the Poisson point process (PPP). We can predict channel capacity in urban areas, taking into account the density of traffic and urban traffic by using this model. Furthermore, in order to validate the proposed model, we compared the results of this model with a statistical model based on measurements and there is a good agreement between them.
Manuscript profile
