dc.contributor.author
Banchs, Albert
dc.contributor.author
Bega, Dario
dc.contributor.author
Costa, Xavier
dc.contributor.author
Fiore, Marco
dc.contributor.author
Gramaglia, Marco
dc.contributor.author
Petez, Ramon
dc.date.accessioned
2023-02-16T15:36:55Z
dc.date.accessioned
2024-12-09T15:44:13Z
dc.date.available
2023-02-16T15:36:55Z
dc.date.available
2024-12-09T15:44:13Z
dc.date.issued
2020-12-02
dc.identifier.uri
https://hdl.handle.net/2072/531070
dc.description.abstract
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.
dc.format.extent
7 p.
cat
dc.relation.ispartof
IEEE Network
cat
dc.relation.ispartofseries
Volume 34;Issue 6
dc.rights
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.source
RECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.other
AI-Driven Systems
cat
dc.subject.other
Artificial Intelligence & Big Data
cat
dc.subject.other
5G & Internet of Things
cat
dc.title
AI-Based Autonomous Control, Management, and Orchestration in 5G: From Standards to Algorithms
cat
dc.type
info:eu-repo/semantics/article
cat
dc.type
info:eu-repo/semantics/publishedVersion
cat
dc.embargo.terms
24 mesos
cat
dc.identifier.doi
10.1109/MNET.001.2000047
cat
dc.rights.accessLevel
info:eu-repo/semantics/openAccess