Reinforcement learning-based global programming for energy efficiency in multi-cell interference networks

R Raghunath, B Peng, KL Besser… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
With the increasing application of internet of things (IoT), the number of wirelessly
transmitting devices is on a rise. It is important that the energy efficiency (EE) is maximized to …

Data-driven control of terrestrial and satellite communication networks

A Wrona - 2024 - iris.uniroma1.it
Artificial Intelligence and the pervasive presence of Big Data have vigorously become the
technological protagonists of the new millennium. In the interconnected world in which we …

A Distributed Average Cost Reinforcement Learning approach for Power Control in Wireless 5G Networks

A Ornatelli, A Giuseppi… - 2022 IEEE World AI IoT …, 2022 - ieeexplore.ieee.org
This paper deals with the transmission power control problem in wireless networks. Such a
problem represents a well known and relevant issue as it allows to efficiently manage the …

Network control systems for 5G multi-connectivity

A Ornatelli - 2021 - iris.uniroma1.it
This thesis aims to develop a network control framework when considering heterogeneous
access network technologies. The scenario of interest is when several services are using a …