Mobile networks are facing an unprecedented demand for high-speed connectivity
originating from novel mobile applications and services and, in general, from the adoption …

Distributed machine learning (DML) techniques, such as federated learning, partitioned
learning, and distributed reinforcement learning, have been increasingly applied to wireless …

We consider the problem of optimally allocating resources across a set of transmitters and
receivers in a wireless network. The resulting optimization problem takes the form of …

This paper considers the design of optimal resource allocation policies in wireless
communication systems, which are generically modeled as a functional optimization …

We study the problem of optimal power allocation in a single-hop ad hoc wireless network.
In solving this problem, we depart from classical purely model-based approaches and …

We consider the broad class of decentralized optimal resource allocation problems in
wireless networks, which can be formulated as a constrained statistical learning problems …

As the world pushes toward the use of greener technology and minimizes energy waste,
energy efficiency in the wireless network has become more critical than ever. The next …

A fundamental problem in the design of wireless networks is to efficiently schedule
transmission in a distributed manner. The main challenge stems from the fact that optimal …

Data security and resource allocation are two important terms associated with the Internet of
Things (IoT). This recent technical evolution has made its mark in industrial applications …

In this paper, the downlink transmission of a two-tier heterogeneous network (HetNet) is
considered in which a macro base station (MBS) serves the macro users using orthogonal …