Data · dataset · 2026
Integrating Network Digital Twinning into Future AI-based 6G Systems: The 6G-TWIN Vision [* Cross-Reference *]
Listed in LORE
As we move closer to the 6G era, the complexity and dynamism of communication networks is set to increase significantly.
Description
This requires more sophisticated, automated management solutions, while retaining human oversight. To meet these new challenges, it is essential to build new architectures that provide a secure environment for closed-loop network automation and to enable optimal resource planning, management and control.
In this context, this paper presents the vision of the European 6G-TWIN consortium, which focuses on the creation of a cyber-physical continuum that seamlessly merges the physical world with its digital representation, through the concept of Network Digital Twin (NDT) and its integration into an Artificial Intelligence (AI)-based 6G architecture. This initiative aims to bridge the gap between the increasing complexity of networks and their operational performance, potentially improving real-time user experiences across multiple domains.
Read the rest (1 more)
This paper specifically highlights the associated key challenges and the approach taken by 6G-TWIN to address them. ***This entry has been automatically imported via Infodoc(ASO) CSV by LIST harvest scripts. Please refer to doi.org/10.1109/EuCNC/6GSummit60053.2024.10597058 for the original and latest version of the dataset and data downloads***
Links
Where it is published
- Dataverse dataset page lore.list.lu/dataset.xhtml?persistentId=perma%3ALIST.GUXHBM ↗
landing page · from lore list lu
- Persistent identifier lore.list.lu/citation?persistentId=perma%3ALIST.GUXHBM ↗
DOI / persistent id · from lore list lu
Catalogue records · 1
- Dataverse API lore.list.lu/api/datasets/:persistentId/?persistentId=perma%3ALIST.GUXHBM ↗
metadata API · from lore list lu
Topics
- Stated by source
- Computer and Information Science
Related
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| LORE | perma:LIST.GUXHBM | 2 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:computer-and-information-science | source · lore list lu | connector:lore_list_lu@1.0.0 | /subjects |
| created_date | source · lore list lu | connector:lore_list_lu@1.0.0 | |
| description | source · lore list lu | connector:lore_list_lu@1.0.0 | /description |
| publication_date | source · lore list lu | connector:lore_list_lu@1.0.0 | |
| title | source · lore list lu | connector:lore_list_lu@1.0.0 | /name |
| updated_date | source · lore list lu | connector:lore_list_lu@1.0.0 | |
| version_label | source · lore list lu | connector:lore_list_lu@1.0.0 |