درباره ما
ETSI GR ENI 051 V4.1.1
| contributor author | ETSI - European Telecommunications Standards Institute | |
| date accessioned | 2025-09-30T23:01:45Z | |
| date available | 2025-09-30T23:01:45Z | |
| date copyright | 2025.02 | |
| date issued | 2025 | |
| identifier other | gr_ENI051v040101p.pdf | |
| identifier uri | http://yse.yabesh.ir/std;quessioutho4703177793325273135A68A10958014A0Fa/handle/yse/348020 | |
| language | English | |
| publisher | ETSI - European Telecommunications Standards Institute | |
| title | en | |
| title | ETSI GR ENI 051 V4.1.1 | num |
| type | standard | |
| page | 32 | |
| status | Published | |
| tree | ETSI - European Telecommunications Standards Institute:;2025 | |
| contenttype | fulltext | |
| subject keywords | 6G | |
| subject keywords | GenAI | |
| subject keywords | LLM | |
| subject keywords | Native AI | |
| scope | 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. |
