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 …

A deep neural network (DNN) based power control method that aims at solving the non-
convex optimization problem of maximizing the sum rate of a fading multi-user interference …

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 …

Existing cellular network analyses, and even simulations, typically use the standard path
loss model where received power decays like|| x||-α over a distance|| x}}. This standard path …

We consider a cooperative wireless network in the presence of one or more eavesdroppers,
and exploit node cooperation for achieving physical (PHY) layer based security. Two …

In order to mitigate the double near-far effect, we focus on a mobile wireless-powered
communication network (WPCN), where sensor nodes harvest energy from the radio …

At present, operators address the explosive growth of mobile data demand by densification
of the cellular network so as to reduce the transmitter-receiver distance and to achieve …

Besides advanced telecommunications techniques, the most prominent evolution of wireless
networks is the densification of network deployment. In particular, the increasing access …

Transmission capacity (TC) is a performance metric for wireless networks that measures the
spatial intensity of successful transmissions per unit area, subject to a constraint on the …