D4.3–AI-based Techniques for Sustainable & Human-friendly RRM
Rattachement africain : it, fi, fr, gb. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
This document summarizes the achievements of the CENTRIC consortium during the two and a half years of project duration. In particular, it describes the research outcomes of Task 4.2 focused on developing AI-driven techniques for sustainable and human-centric radio resource management. Indeed, as emerging mobile services require to collect increasingly large volumes of data through the radio link and process them via AI/ML models at the network edge, it is imperative to limit the demand forcommunication and computational resources. To address this challenge, we designed innovative techniques to minimize resource, hence energy, consumption while fulfilling performance requirements and system constraints. Specifically, we created and tested novel solutions for (i) the efficient management of radio interfaces and radio traffic, despite the highly dynamic operational environments, (ii) the energy-aware training and execution of AI/ML models at the network edge, and (iii) the configurationof innovative network architectures that besides network performance metrics, account for EMF exposure. Our solutions often leverage data-driven approaches, which can tackle the complexity and the scale of new generation network systems more effectively when compared to traditional optimization methods. Overall, the solutions and methods we propose represent an effective set of tools to make the support of AI/ML-based mobile services sustainable.
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Le contrôle bibliographique ouvert
Où se fait cette recherche
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Consorzio Nazionale Interuniversitario per le Telecomunicazioni pays non établi dans la noticeOrganisme public
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University of Oulu pays non établi dans la noticeUniversité ou école supérieure
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Nokia (France) pays non établi dans la noticeEntreprise
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Nokia (Finland) pays non établi dans la noticeEntreprise
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Research Institute on Sustainable Economic Growth pays non établi dans la noticeStructure de recherche
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Consiglio Nazionale delle Ricerche - Istituto di Ricerca sugli Ecosistemi Terrestri pays non établi dans la noticeOrganisation à but non lucratif
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King's College London pays non établi dans la noticeUniversité ou école supérieure
Consorzio Nazionale Interuniversitario per le Telecomunicazioni, University of Oulu et Nokia (France), avec 4 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.