Bega, DarioGramaglia, MarcoPérez, RamónFiore, MarcoBanchs Roca, AlbertCosta-Pérez, Xavier2021-01-252021-01-252020-12-02IEEE network, 34(6), Pp. 14-200890-80441558-156X (online)https://hdl.handle.net/10016/31770While 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.7eng© 2020 IEEE.Artificial intelligenceForecastingEnginesPrediction algorithmsHistoryData analysis3GPPresearch articleTelecomunicacioneshttps://doi.org/10.1109/MNET.001.2000047open access14620IEEE NETWORK34AR/0000025931