Recently the number of wireless internet service user is increasing rapidly but there are some areas in which service level has not reached the expected level yet. In this paper, we apply ACSI model to measure the current level of customer satisfaction. As a result of ML estimation, we observe that satisfaction increases as the level of perceived quality increases. However, this model does not provide flexibility of adjusting data characteristics that wireless internet service has, and it is not easy to find direct controllable feedback for better service. We propose a structural equation model that can overcome these problems and obtain that information transmission quality and proper fare policy can significantly improve the satisfaction level of wireless Internet users.