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Recolector de Ciencia Abierta, RECOLECTA
Article . 2021 . 2020
Data sources: Recolector de Ciencia Abierta, RECOLECTA
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ai based autonomous control management and orchestration in 5g from standards to algorithms
Copyright policy )EC| 5G-TOURS
Authors: Bega, Dario; Gramaglia, Marco; Pérez, Ramón; Fiore, Marco; Banchs Roca, Albert; Costa-Pérez, Xavier;
handle: 10016/31770
ai based autonomous control management and orchestration in 5g from standards to algorithms
Abstract
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 standards specifications and complements them with the required missing 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
Country
Spain
Related Organizations
- Instituto de Salud Carlos III Spain
- IMDEA Networks Spain
- Carlos III University of Madrid Spain
- IMDEA Spain
Keywords
Artificial intelligence, History, Telecomunicaciones, Data analysis, 3GPP, Engines, Prediction algorithms, Forecasting
Artificial intelligence, History, Telecomunicaciones, Data analysis, 3GPP, Engines, Prediction algorithms, Forecasting
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