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 …

Cellular operators are continuously densifying their networks to cope with the ever-
increasing capacity demand. Furthermore, an extreme densification phase for cellular …

We apply the tensor train (TT) decomposition to construct the tensor product polynomial
chaos expansion (PCE) of a random field, to solve the stochastic elliptic diffusion PDE with …

Network densification is one of the dominant evolutions to increase network capacity toward
future cellular networks. However, the complex and random interference in the resultant …

To understand the spatial deployment of base stations (BSs) is the first step to analyze the
performance of cellular networks and further design efficient networking protocols. Poisson …

This paper investigates the downlink performance of dense K-tier heterogeneous cellular
networks (HCNs) under general settings. First, Gaussian approximation bounds for the …

We introduce a stochastic analytical framework to compare the performance of open-access
and closed-access modes in a two-tier femtocell network with regard to the uplink …

In cellular networks, each mobile station adjusts its power level under control of its base
station, ie, through uplink transmit power control, which is essential to reach desired signal …

Cellular communication networks are plagued with redundant capacity, which results in low
utilization and cost-effectiveness of network capital investments. The redundant capacity can …

Random wireless networks with finite number of nodes distributed uniformly in a circular-
shaped finite region are considered. A closed-form expression for the complimentary …