RT Conference Proceedings
T1 Orchestration Procedures for the Network Intelligence Stratum in 6G Networks
A1 Chatzieleftheriou, Livia Elena
A1 Gramaglia, Marco
A1 Camelo, Miguel
A1 García-Saavedra, Andrés
A1 Kosmatos, Evangelos
A1 Gucciardo, Michele
A1 Soto, Paola
A1 Iosifidis, George
A1 Fuentes, Lidia
A1 García Avilés, Ginés
A1 Lutu, Andra Elena
A1 Baldoni, Gabriele
A1 Fiore, Marco
AB The quest for autonomous mobile networks introduces the need for fully native support for Network Intelligence (NI) algorithms, typically based on Artificial Intelligence tools like Machine Learning, which shall be gathered into a NI stratum. The NI stratum is responsible for the full automation of the NI operation in the network, including the management of the life-cycle of NI algorithms, in a way that is synergic with traditional network management and orchestration framework. In this regard, the NI stratum must accommodate the unique requirements of NI algorithms, which differ from the ones of, e.g., virtual network functions, and thus plays a critical role in the native integration of NI into current network architectures. In this paper, we leverage the recently proposed concept of Network Intelligence Orchestrator (NIO) to (i) define the specific requirements of NI algorithms, and (ii) discuss the procedures that shall be supported by an NIO sitting in the NI stratum to effectively manage NI algorithms. We then (iii) introduce a reference implementation of the NIO defined above using cloud-native open-source tools.
PB IEEE
SN 979-8-3503-1102-0
YR 2023
FD 2023-06-06
LK https://hdl.handle.net/10016/38377
UL https://hdl.handle.net/10016/38377
LA eng
NO Proceeding of: 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 6-9 June 2023, Gothenburg, Sweden. pp.: 347-352.
NO This work has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement no. 101017109 “DAEMON”.
DS e-Archivo
RD 17 jul. 2024