RT Journal Article
T1 AI-based Autonomous Control, Management, and Orchestration in 5G: from Standards to Algorithms
A1 Bega, Dario
A1 Gramaglia, Marco
A1 Pérez, Ramón
A1 Fiore, Marco
A1 Banchs Roca, Albert
A1 Costa-Pérez, Xavier
AB While the application of Artificial Intelligence (AI) to 5G networks has raised a strong interest, standard solutions to bring AI into 5G systems are still in their infancy and have a long way to go before they can be used to build an operational system. In this paper, we contribute to bridging the gap between standards and a working solution, by defining a framework that brings together the relevant standard specifications and complements them with additional building blocks. We populate this framework with concrete AI-based algorithms that serve different purposes towards developing a fully operational system. We evaluate the performance resulting from applying our framework to control, management and orchestration functions, showing the benefits that AI can bring to 5G systems.
PB IEEE
SN 0890-8044
SN 1558-156X (online)
YR 2020
FD 2020-12-02
LK https://hdl.handle.net/10016/31770
UL https://hdl.handle.net/10016/31770
LA eng
NO This work was supported by the H2020 5G-TOURS European project (Grant Agreement No. 856950).
DS e-Archivo
RD 30 jun. 2024