RT Conference Proceedings
T1 Network Intelligence for Virtualized RAN Orchestration: The DAEMON Approach
A1 Gramaglia, Marco
A1 Camelo, Miguel
A1 Fuentes, Lidia
A1 Ballesteros, Joaquín
A1 Baldoni, Gabriele
A1 Cominardi, Luca
A1 García Saavedra, Andrés
A1 Fiore, Marco
AB Next-generation mobile networks will largely benefit from advances in softwarization and cloudification of network functions. However, fully exploiting the new potential of flexible network architectures in front of increasingly demanding service volumes and requirements calls for an extremely effective integration of Network Intelligence (NI) solutions into production infrastructures.While current standardization efforts towards embedding NI in beyond-5G and 6G systems are still in their infancy, the DAEMON project is developing technologies for a NI-native generation of mobile networks.In this paper, we present current evolutions proposed by DAEMON in terms of a general model for the representation of NI instances, which facilitates their synergic integration in network environments. We showcase the practical viability and advantages of the proposed approach with two state-of-the-art NI algorithms for vRAN orchestration implemented into an open-source data flow programming framework.
PB IEEE
SN 978-1-6654-9871-5
YR 2022
FD 2022-06-07
LK https://hdl.handle.net/10016/35946
UL https://hdl.handle.net/10016/35946
LA eng
NO This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no.101017109 DAEMON
DS e-Archivo
RD 17 jul. 2024