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Work Item Reference | ETSI Doc. Number |
STF | Technical Body in Charge |
Download Standard
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| DGR/ENI-0051v411_AI-Agent_NGCN | GR ENI 051 | ENI | |||||
| Current Status (Click to View Full Schedule) |
Latest Version |
Cover Date | Standstill | Creation Date | |||
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4.1.1 | 2025-02-10 | View Standstill Information | 2024-06-12 | |||
| Rapporteur | Technical Officer | Harmonised Standard | |||||
Raymond Forbes
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Christine Mera
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No | |||||
| Title |
Experiential Networked Intelligence (ENI); Study on AI Agents based Next-generation Network Slicing |
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Scope and Field of Application |
The present document analyses and studies potential ENI activities on 6G native AI capabilities. ENI has a strong focus on providing cognitive capabilities to improve the user experience of the operator. The present document covers the areas and needs for new technical projects using 6G native AI capabilities. This covers: definition of the use cases and requirements of Core Network (CN) Large Language Models (LLMs), definition of the CN-Agent to facilitate interaction between the CN and the CN LLMs, identification of the key functional modules and interfaces of the CN-Agent, and the key technologies required. Network slicing is used throughout the present document to explain the operation of this system. However, this is not a limiting case, and the system described in the present document is intended to serve a large variety of CN use cases. |
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Supporting Organizations |
1.Huawei Tech (UK) Ltd., 2.Deutsche telekom, 3.Futurewei Inc. 4.CNIT (Italian national central institute of telecommunications), 5.Telefonica, 6.Motorola Mobility | ||||||
