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Network Intelligence for Virtualized RAN Orchestration: The DAEMON Approach

Authors: Gramaglia, Marco; Camelo, Miguel; Fuentes, Lidia; Ballesteros, Joaquín; Baldoni, Gabriele; Cominardi, Luca; Garcia-Saavedra, Andres; +1 Authors

Network Intelligence for Virtualized RAN Orchestration: The DAEMON Approach

Abstract

Next-generation mobile networks will largely benefit from advances in softwarization and cloudification of network functions. However, fully exploiting the new potential of flexible network architectures in front of increasingly demanding service volumes and requirements calls for an extremely effective integration of Network Intelligence (NI) solutions into production infrastructures. While current standardization efforts towards embedding NI in beyond-5G and 6G systems are still in their infancy, the DAEMON project is developing technologies for a NI-native generation of mobile networks. In this paper, we present current evolutions proposed by DAEMON in terms of a general model for the representation of NI instances, which facilitates their synergic integration in network environments. We showcase the practical viability and advantages of the proposed approach with two state-of-the-art NI algorithms for vRAN orchestration implemented into an open-source data flow programming framework.

Country
Belgium
Keywords

Computer. Automation, Telecomunicaciones, Network Intelligence, Orchestration, Vran, vRAN,, Mobile networks, Mass communications, Network intelligence, Virtualized RAN, Mobile Networks, Virtualized ran, 6g, 6G

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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6
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17
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