Table of Contents - Y.3192 (12/2025) - Requirements and functional framework for customer-oriented network quality auto-optimization with artificial intelligence

1	Scope
2	References
3	Definitions
	3.1	Terms defined elsewhere
	3.2	Terms defined in this Recommendation
4	Abbreviations and acronyms
5	Conventions
6	Overview and benefits of customer-oriented network quality auto-optimization with artificial intelligence
	6.1	Background of customer-oriented network quality auto-optimization with artificial intelligence
	6.2	Benefits of customer-oriented network quality auto-optimization with artificial intelligence
7	Requirements of customer-oriented network quality auto-optimization with artificial intelligence
	7.1	CNAO data collection
	7.2	Customer intention identification
	7.3	Intelligent analysis for root cause of network quality issues
	7.4	Automated identification of network optimization actions
	7.5	Automated network optimization work order handling
	7.6	Basic AI supporting capabilities for CNAO
8	Functional framework for customer-oriented network quality auto-optimization with artificial intelligence
	8.1	Data-collection functional block of CNAO
	8.2	Customer intention identification functional block of CNAO
	8.3	Network issue root cause analysis functional block of CNAO
	8.4	Network optimization actions allocation functional block of CNAO
	8.5	Network optimization work order generation functional block of CNAO
	8.6	AI engine functional block of CNAO
Appendix I – Relationship between the functional framework of CNAO with AI and the AITOM framework
Appendix II – Network lags use case of CNAO with AI
	II.1	Scenario description
	II.2	CNAO system analyses the customer intention with AI
	II.3	CNAO system analyses the root cause of the network quality issue with AI
	II.4	CNAO system generates the network quality optimization actions with AI
Bibliography