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 …

The study of ad hoc networks and their different varieties, including wireless sensor
networks, wireless mesh networks, and mobile ad hoc networks, is discussed in this paper …

This volume bears on wireless network modeling and performance analysis. The aim is to
show how stochastic geometry can be used in a more or less systematic way to analyze the …

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 …

The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

The calculation of the SIR distribution at the typical receiver (or, equivalently, the success
probability of transmissions over the typical link) in Poisson bipolar and cellular networks …

The performance of wireless networks is fundamentally limited by the aggregate
interference, which depends on the spatial distributions of the interferers, channel …

Random spatial models are attractive for modeling heterogeneous cellular networks (HCNs)
due to their realism, tractability, and scalability. A major limitation of such models to date in …

In mobile networks, distance variations caused by node mobility generate fluctuations in the
channel gains. Such fluctuations can be treated as another type of fading besides multipath …