40 citations · 46 across the 3 of their papers we have counts for
3 papers
Design and Evaluation of Deep Reinforcement Learning for Energy Saving in Open RAN
Matteo Bordin, Andrea Lacava, Michele Polese +5
Next-generation wireless systems, already widely deployed, are expected to become even more prevalent in the future, representing challenges in both environmental and economic term…
ns-O-RAN: Simulating O-RAN 5G Systems in ns-3
Andrea Lacava, Matteo Bordin, Michele Polese +4
O-RAN is radically shifting how cellular networks are designed, deployed and optimized through network programmability, disaggregation, and virtualization. Specifically, RAN Intell…
Programmable and Customized Intelligence for Traffic Steering in 5G Networks Using Open RAN Architectures
Andrea Lacava, Michele Polese, Rajarajan Sivaraj +6
5G and beyond mobile networks will support heterogeneous use cases at an unprecedented scale, thus demanding automated control and optimization of network functionalities customize…