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Other literature type . 2023
License: CC BY
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Presentation . 2023
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2023
License: CC BY
Data sources: Datacite
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Result Highlights of Early 6G Enablers

Authors: Gavras, Anastasius;

Result Highlights of Early 6G Enablers

Abstract

The 6G BRAINS projects delivers early 6G enablers in the areas: (i) AI-driven multi-agent deep reinforcement learning (DRL) for resource allocation, (ii) novel combination of spectrum links like THz and OWC to enhance capacity, reliability and latency performance, (iii) cross-layer DRL driven resource allocation to support massive connections over device-to-device (D2D) cell-free networks in the sub-6GHz/mmWave/THz/OWC bands, and (iv) high resolution 3D Simultaneous Localization And Mapping (SLAM) with accuracy in the mm-range. This presentation presents a number of these innovations and will touch upon future innovations anticipated by the CENTRIC SNS project which works towards an AI-native, user-centric air interface for 6G networks.

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    popularity
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    influence
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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!
0
Average
Average
Average