12 citations · 26 across the 31 of their papers we have counts for
25 papers · 1 filter
DRL-based Slice Placement under Realistic Network Load Conditions
José Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin +1
We propose to demonstrate a network slice placement optimization solution based on Deep Reinforcement Learning (DRL), referred to as Heuristically-controlled DRL, which uses a heur…
On the Robustness of Controlled Deep Reinforcement Learning for Slice Placement
Jose Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin +1
The evaluation of the impact of using Machine Learning in the management of softwarized networks is considered in multiple research works. Beyond that, we propose to evaluate the r…
DRL-based Slice Placement Under Non-Stationary Conditions
Jose Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin +1
We consider online learning for optimal network slice placement under the assumption that slice requests arrive according to a non-stationary Poisson process. We propose a framewor…
A Heuristically Assisted Deep Reinforcement Learning Approach for Network Slice Placement
Jose Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin +1
Network Slice placement with the problem of allocation of resources from a virtualized substrate network is an optimization problem which can be formulated as a multiobjective Inte…
Cloud-RAN functional split for an efficient fronthaul network
Veronica Quintuna Rodriguez, Fabrice Guillemin, Alexandre Ferrieux +1
The evolution of telecommunication network towards cloud-native environments enables flexible centralization of the base band processing of radio signals. There is however a trade-…
Cloud-RAN Factory: Instantiating virtualized mobile networks with ONAP
Veronica Quintuna Rodriguez, Romuald Corbel, Fabrice Guillemin +1
In this demo, we exhibit the negotiation based on the TM Forum framework (Customer Facing Service and Resource Facing Service) and the deployment of a fully virtualized end-to-end…