Network intelligence in action: the DAEMON perspective
L.E. Chatzieleftheriou (IMDEA Networks Institute)
Marco Gramaglia
Marco Fiore
Nina Slamnik-Krijestorac
Miguel Camelo
Paola Soto
Evangelos Kosmatos
Andres Garcia-Saavedra
Michele Gucciardo
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Abstract
The native integration of AI and ML algorithms in the next-generation mobile network architecture will allow for meeting the expectations of 6G. This aspect is targeted by the DAEMON project, which proposed a solution to natively manage Network Intelligence (NI) through novel architectural elements and procedures. In this paper, we discuss how NI solutions based on AI and ML can leverage NI native procedures implemented by the NI Orchestrator to improve their lifecycle management. We also discuss how the architectural procedures can be implemented in practice, using state-of-the-art software components.
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