User mobility model based on street pattern

This paper presents a new statistical approach to user mobility characteristics. The object of research is focused on urban areas with low or normal traffic. The probability density function of the sojourn time for handover and new calls is estimated based on street pattern parameters. The parameters used are the average block area, the traffic parameter and the irregularity of the street pattern. It is proposed that these parameters provide all the information needed in order to estimate the statistical characteristics of the sojourn time for a random user.