Stochastic geometry provides a convenient approach to analyze the cellular networks.
Adoption of Poisson point process, for example, has been proven to be an efficient tool to …

Accurate modeling of network interference, deep understanding of its impact on the
achievable performance, and development of efficient techniques to mitigate or exploit it are …

Owing to its unparalleled tractability, the Poisson point process (PPP) has emerged as a
popular model for the analysis of cellular networks. Considering a stationary point process of …

The stochastic geometry-based downlink analysis of a cellular network modeled as a
Poisson point process (PPP) has traditionally focused on the typical user placed at the …

The cellular uplink has typically been studied using simple Wyner-type analytical models
where interference is modeled as a constant or a single random variable, or via complex …

In recent years, wireless network modeling using stochastic geometry tools, like Poisson
Point Process (PPP), has acquired the attention of researchers. Modeling of interference …

Stochastic geometry models of wireless networks based on Poisson point processes are
increasingly being developed with a focus on studying various signal-to-interference-plus …

This tutorial is intended as an accessible but rigorous first reference for someone interested
in learning how to model and analyze cellular network performance using stochastic …

The spatial locations of transmitters play a cardinal role in evaluating the aggregate
interference and hence the performance of large wireless networks. The most widely used …

Stochastic geometry models have been attracting attention as tractable models of wireless
communication networks. Most prior studies on such models assume that the wireless nodes …