[PDF][PDF] CaRL: Cascade Reinforcement Learning with State Space Splitting for O-RAN based Traffic Steering
ABSTRACT The Open Radio Access Network (O-RAN) architecture empowers intelligent
and automated optimization of the RAN through applications deployed on the RAN …
and automated optimization of the RAN through applications deployed on the RAN …
Hierarchical rl for load balancing and qos management in multi-access networks
This paper deals with the problem of resource management in Multi-Access Networks. A
Reinforcement Learning based hierarchical control strategy is presented. The main …
Reinforcement Learning based hierarchical control strategy is presented. The main …
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 …
technological protagonists of the new millennium. In the interconnected world in which we …
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 …
access network technologies. The scenario of interest is when several services are using a …