作者
Dario Bega, Marco Gramaglia, Ramon Perez, Marco Fiore, Albert Banchs, Xavier Costa-Perez
发表日期
2020/12/2
期刊
IEEE Network
卷号
34
期号
6
页码范围
14-20
出版商
IEEE
简介
While the application of artificial intelligence (Ai) to 5G networks has raised 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 article, 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 toward 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.
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