This paper presents a tutorial on stochastic geometry (SG)-based analysis for cellular
networks. This tutorial is distinguished by its depth with respect to wireless communication …

This paper surveys and unifies a number of recent contributions that have collectively
developed a metric for decentralized wireless network analysis known as transmission …

Covering point process theory, random geometric graphs and coverage processes, this
rigorous introduction to stochastic geometry will enable you to obtain powerful, general …

Wireless networks are fundamentally limited by the intensity of the received signals and by
their interference. Since both of these quantities depend on the spatial location of the nodes …

Since interference is the main performance-limiting factor in most wireless networks, it is
crucial to characterize the interference statistics. The two main determinants of the …

To account for stochastic properties when modeling connectivity in wireless mobile systems
such as cellular, ad hoc and sensor networks, spatial point processes are used. Since …

Cellular systems are becoming more heterogeneous with the introduction of low power
nodes including femtocells, relays, and distributed antennas. Unfortunately, the resulting …

In this paper, we introduce an analytical framework to compute the average rate of downlink
heterogeneous cellular networks. The framework leverages recent application of stochastic …

Two-tier femtocell networks-comprising a conventional cellular network plus embedded
femtocell hotspots-offer an economically viable solution to achieving high cellular user …

In the analysis of large random wireless networks, the underlying node distribution is almost
ubiquitously assumed to be the homogeneous Poisson point process. In this paper, the …