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ETSI GR ENI 051 V4.1.1

Year: 2025

URI: http://yse.yabesh.ir/std;quessioutho4703177793325273135A68A10958014A0Fa/handle/yse/348020

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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.

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