Temporal‐spatial distribution nature of traffic and base stations in cellular networks

Abstract

Recent years have witnessed the unprecedented surge of mobile traffic and base stations (BSs) deployment, which poses severe requirement for future communications systems. Understanding the distribution dynamics of traffic and BSs in time-space domain is of vital importance for better network design and resource management in cellular networks. In this study, a study on the statistical characteristics of cellular traffic series is carried out and α -stable distribution is verified to be valid for modelling the traffic series of each BS. On the other hand, inspired by the fact that BSs traffic series are spatially correlated, the authors study the statistical relationship between the correlation coefficient and the distance between BSs. Moreover, α -stable model is also suitable to describe the BSs deployment, thus conducing to prove the existence of self-similarity. In addition, both the traffic time series and the BSs spatial distribution are deeply associated with heterogeneity, so they come up with the density-based and distance-based methods to quantify their heterogeneous degree.