no code implementations • 22 Oct 2023 • Alfredo Petrella, Marco Miozzo, Paolo Dini
This translates to a considerable amount of energy for data transmission and processing.
1 code implementation • 19 Sep 2023 • Vasileios Perifanis, Nikolaos Pavlidis, Selim F. Yilmaz, Francesc Wilhelmi, Elia Guerra, Marco Miozzo, Pavlos S. Efraimidis, Paolo Dini, Remous-Aris Koutsiamanis
Cellular traffic prediction is a crucial activity for optimizing networks in fifth-generation (5G) networks and beyond, as accurate forecasting is essential for intelligent network design, resource allocation and anomaly mitigation.
1 code implementation • 15 Sep 2022 • Elia Guerra, Francesc Wilhelmi, Marco Miozzo, Paolo Dini
Federated learning is one of the most appealing alternatives to the standard centralized learning paradigm, allowing a heterogeneous set of devices to train a machine learning model without sharing their raw data.
no code implementations • 7 Aug 2020 • Dagnachew Azene Temesgene, Marco Miozzo, Deniz Gündüz, Paolo Dini
We formulate the corresponding grid energy and traffic drop rate minimization problem, and propose a distributed deep reinforcement learning (DDRL) solution.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 11 Jun 2020 • Zoraze Ali, Marco Miozzo, Lorenza Giupponi, Paolo Dini, Stojan Denic, Stavroula Vassaki
In this paper, we discuss a handover management scheme for Next Generation Self-Organized Networks.
no code implementations • 13 Jun 2019 • Dagnachew Azene T., Marco Miozzo, Paolo Dini
In this paper, we propose a network scenario where the baseband processes of the virtual small cells powered solely by energy harvesters and batteries can be opportunistically executed in a grid-connected edge computing server, co-located at the macro base station site.
Systems and Control Systems and Control