Future wireless networks are expected to constitute a distributed intelligent wireless
communications, sensing, and computing platform, which will have the challenging …

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 …

Next-generation wireless networks are expected to be highly heterogeneous, multilayered,
with embedded intelligence at both the core and edge of the network. In such a context …

For more than three decades, stochastic geometry has been used to model large-scale ad
hoc wireless networks, and it has succeeded to develop tractable models to characterize …

Device-to-device (D2D) communication enables the user equipments (UEs) located in close
proximity to bypass the cellular base stations (BSs) and directly connect to each other, and …

Millimeter wave (mm-wave) communications is considered a promising technology for 5G
networks. Exploiting beamforming gains with large-scale antenna arrays to combat the …

Using stochastic geometry, we develop a tractable uplink modeling paradigm for outage
probability and spectral efficiency in both single and multi-tier cellular wireless networks …

It is a great challenge to evaluate the network performance of cellular mobile communication
systems. In this paper, we propose new spatial spectrum and energy efficiency models for …

The spatial structure of transmitters in wireless networks plays a key role in evaluating
mutual interference and, hence, performance. Although the Poisson point process (PPP) has …

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 …