1 citations · 1 across the 2 of their papers we have counts for
3 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…
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…