Future generation (5G and beyond) cellular networks have to deal not only with an extreme traffic demand increase, but also an extreme level of heterogeneity in the distribution of that demand in both space and time. Traffic modeling in the time domain has been investigated well in the literature. In the space domain, however, there is a lack of statistical models for the heterogeneous User Equipment (UE) distribution beyond the classical Poisson Point Process (PPP) model. In this paper, we introduce a methodology for the generation and analysis of spatial traffic which allows statistical adjustments. Only two parameters, namely, Coefficient of Variation (CoV) and Correlation Coefficient, are adjusted to control the UE distribution heterogeneity and correlation with Base Stations (BSs). The methodology is applied to cellular networks to show the impact of heterogeneous network geometry on network performance.

Additional Metadata
Keywords Cellular network, Point process, Spatial traffic distribution, Statistical modeling, Stochastic geometry
Persistent URL dx.doi.org/10.1109/GLOCOM.2014.7037374
Conference 2014 IEEE Global Communications Conference, GLOBECOM 2014
Citation
Mirahsan, M. (Meisam), Schoenen, R. (Rainer), & Yanikömeroǧlu, H. (2014). Statistical modeling of spatial traffic distribution with adjustable heterogeneity and B S-correlation in wireless cellular networks. In 2014 IEEE Global Communications Conference, GLOBECOM 2014 (pp. 3647–3652). doi:10.1109/GLOCOM.2014.7037374