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 28 jun. 2024