Single Tier Heterogeneous Traffic Generator based on Traffic Statistics

The most dedicated mathematical tool for spatial traffic modeling is based on stochastic geometry and consider base stations (BSs) and the user equipment (UE) locations modeled as two independent Poisson point processes (PPP). This approach is a relatively good model for generating BS locations but has a major drawback in modelling UE locations due to the lack of adjustability in representing the severity of nonuniformity of the UE position. The second issue is represented by the lack of correlation between the two independent PPPs. The present work reviews different adjustable traffic statistics used in heterogenous traffic generation, along with a novel proposed statistic: the spatial autocorrelation of the users. Only two parameters are used for traffic generation (Coefficient of Variation and the Correlation Coefficient between UE and BS). The proposed traffic generation model capabilities are illustrated in a single tier wireless cellular network.