78 citations · 79 across the 4 of their papers we have counts for
7 papers
Distributed Deep Reinforcement Learning for Functional Split Control in Energy Harvesting Virtualized Small Cells
Dagnachew Azene Temesgene, Marco Miozzo, Deniz Gündüz +1
To meet the growing quest for enhanced network capacity, mobile network operators (MNOs) are deploying dense infrastructures of small cells. This, in turn, increases the power cons…
Recurrent Neural Networks for Handover Management in Next-Generation Self-Organized Networks
Zoraze Ali, Marco Miozzo, Lorenza Giupponi +3
In this paper, we discuss a handover management scheme for Next Generation Self-Organized Networks. We propose to extract experience from full protocol stack data, to make smart ha…
Dynamic Control of Functional Splits for Energy Harvesting Virtual Small Cells: a Distributed Reinforcement Learning Approach
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 exec…
Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells
Dagnachew A. Temesgene, Nicola Piovesan, Marco Miozzo +1
Flexible functional split in Cloud Radio Access Network (CRAN) greatly overcomes fronthaul capacity and latency challenges. In such architecture, part of the baseband processing is…
End-to-end 5G services via an SDN/NFV-based multi-tenant network and cloud testbed
Raul Muñoz, Josep Mangues-Bafalluy, Nikolaos Bartzoudis +11
5G has a main requirement of highly flexible, ultralow latency and ultra-high bandwidth virtualized infrastructure in order to deliver end-to-end services. This requirement can be…
Energy sustainable paradigms and methods for future mobile networks: A survey
Nicola Piovesan, Angel Fernandez Gambin, Marco Miozzo +2
In this survey, we discuss the role of energy in the design of future mobile networks and, in particular, we advocate and elaborate on the use of energy harvesting (EH) hardware as…