Stochastic geometry approaches for D2D communications in dense heterogeneous networks
Résumé
Stochastic geometry (SG) is a useful tool to estimate the interferences and the data rates in wireless networks. 5G is being defined and includes numerous types of heterogeneous links: LTE-based communications, Device-to-Device (D2D) links, etc. Despite the adaptability of SG, its use remains complex, and various approaches are necessary, in particular for D2D communications, depending on the studied network environment. D2D links can be implemented either in the cellular band, sharing the LTE spectrum (Inband Underlay) or using a dedicated portion of this spectrum (Inband Overlay), or in unlicensed bands (Outband D2D). In the case of Uplink Inband communications, SG easily allows to quantify the SINR by means of Point Processes. However, if D2D communications use the Downlink, it is much more complicated to quantify this ratio, due to the joint distributions of the users and the base stations. Besides, the choice of hexagonal or Voronoï cells influences the associated calculations. Furthermore, the propagation environment involves different small-scale fading models(Rayleigh or Nakagami-m fading). In this work, we propose to present and analyze the various approache s of SG for D2D communications in dense heterogeneous networks, and depict some analytical results for these perspectives.