Outage performance of a network model based on average user distance in cellular systems

Network modeling gives an insight into the performance of the main parameters of a system. One of the important performance metrics in cellular networks is outage probability. The conventional model that has been widely used to analyze cellular networks is the Wyner model. This model became popular due to its simplicity which included fixed user locations and deterministic, homogeneous interference intensity. However, in a real cellular network, the user locations are random and interference level varies throughout a cell. Based on these aspects, the Wyner model was extended to incorporate fading, shadowing etc. Recently, these models are compared with a grid model which considers random user locations, path loss, fading etc. It is shown that the Wyner model and its modifications cannot precisely demonstrate the performance metrics of a cellular system as compared to the grid model. However, the grid model is quite complex as it considers all the parameters for every user locations within a cell as well as adjacent cells. In this paper, we show that using a simple averaging in the complex grid model can provide a good approximated result, better than that of the Wyner model, yet much less complex than the grid model.