Modeling Spatially-Correlated Cellular Networks by Using Inhomogeneous Poisson Point Processes

SHANSHAN WANG1, Marco Di Renzo2, Xiaojun Xi3

  • 1CENTRALESUPELEC-UMR8506-L2S
  • 2Paris-Saclay University
  • 3Université Paris-Saclay

Details

12:10 - 14:20 | Thu 15 Mar | ID 04/445 | P01-8

Session: 5G Wireless

Abstract

In this paper, we introduce a new methodology for modeling and analyzing downlink cellular networks, where the Base Stations (BSs) constitute a motion-invariant Point Process (PP) that exhibits some degree of interactions among the points, i.e., spatial inhibition (repulsion) or spatial aggregation (clustering). The proposed approach is based on the theory of Inhomogeneous Poisson PPs (I-PPPs) and is referred to as Inhomogeneous Double Thinning (IDT) approach. The proposed approach consists of approximating the original motion-invariant PP with an equivalent PP that is made of the superposition of two conditionally independent I-PPPs. The inhomogeneities are mathematically modeled through two distance-dependent thinning functions and a tractable expression of the coverage probability is obtained and validated by simulations.