Small Cell Network Modeling and Analysis

Small cell networks are deemed one of the key solutions for next-generation (5G) wireless networks. In such networks, along with the spatial densification of access points, temporal traffic can also vary largely from cell to cell. To this end, a complete understanding of the impact from spatial and temporal aspects is thus essential for network operators to adequately advance the deployment of small cell networks. In this article, based on stochastic geometry and queuing theory, we develop a mathematical framework that captures the interplay between the spatial location of small access points (SAPs), which determines the magnitude of mutual interference, and their temporal traffic dynamic. We derive a tractable expression for the signal-to-interference-plus-noise ratio (SINR) distribution, as well as the mean delay distributions under two different scheduling policies, i.e. the random scheduling and round robin. We also verify the accuracy of our mathematical analysis via simulations. Based on our analysis, we find a number of useful guidelines for the deployment of small cell networks.