Supplement 55 to ITU-T Y-series Recommendations (10/2019) - ITU-T Y.3170-series – Machine learning in future networks including IMT-2020: Use cases
Summary
History
FOREWORD
Table of Contents
1 Scope
2 References
3 Definitions
     3.1 Terms defined elsewhere
     3.2 Terms defined in this Supplement
4 Abbreviations and acronyms
5 Conventions
6 Use cases and their requirements
     6.1 Network slice and other network service related use cases
          6.1.1 Cognitive heterogeneous networks and ML-based SON
               6.1.1.1 Use case description
               6.1.1.2 Use case requirements
                    6.1.1.2.1 Use case requirements related to data collection
                    6.1.1.2.2 Use case requirements related to data storage and processing
                    6.1.1.2.3 Use case requirements related to application of ML output
          6.1.2 Radio resource management for network slicing (RRM-NS)
               6.1.2.1 Use case description
               6.1.2.2 Use case requirements
                    6.1.2.2.1 Use case requirements related to data collection
                    6.1.2.2.2 Use case requirements related to data storage and processing
                    6.1.2.2.3 Use case requirements related to application of ML output
          6.1.3 End-to-end network operation automation – Service design
               6.1.3.1 Use case description
               6.1.3.2 Use case requirements
                    6.1.3.2.1 Use case requirements related to data collection
                    6.1.3.2.2 Use case requirements related to data storage and processing
                    6.1.3.2.3 Use case requirements related to application of ML output
          6.1.4 End-to-end network operation automation – Network resource adaptation
               6.1.4.1 Use case description
               6.1.4.2 Use case requirements
                    6.1.4.2.1 Use case requirements related to data collection
                    6.1.4.2.2 Use case requirements related to data storage and processing
                    6.1.4.2.3 Use case requirements related to application of ML output
          6.1.5 End-to-end network operation automation – Logical network design and deployment
               6.1.5.1 Use case description
               6.1.5.2 Use case requirements
                    6.1.5.2.1 Use case requirements related to data collection
                    6.1.5.2.2 Use case requirements related to data storage and processing
                    6.1.5.2.3 Use case requirements related to application of ML output
          6.1.6 End-to-end network operation automation – Fault detection and recovery
               6.1.6.1 Use case description
               6.1.6.2 Use case requirements
                    6.1.6.2.1 Use case requirements related to data collection
                    6.1.6.2.2 Use case requirements related to data storage and processing
                    6.1.6.2.3 Use case requirements related to application of ML output
          6.1.7 Application-specific network slicing through in-network machine learning
               6.1.7.1 Use case description
               6.1.7.2 Use case requirements
                    6.1.7.2.1 Use case requirements related to data collection
                    6.1.7.2.2 Use case requirements related to data storage and processing
                    6.1.7.2.3 Use case requirements related to application of ML output
          6.1.8 Smart traffic mirror – an ML-assisted network service
               6.1.8.1 Use case description
               6.1.8.2 Use case requirements
                    6.1.8.2.1 Use case requirements related to data collection
                    6.1.8.2.2 Use case requirements related to data storage and processing
                    6.1.8.2.3 Use case requirements related to application of ML output
          6.1.9 ML-based end-to-end network slicing for 5G
               6.1.9.1 Use case description
               6.1.9.2 Use case requirements
                    6.1.9.2.1 Use case requirements related to data collection
                    6.1.9.2.2 Use case requirements related to data storage and processing
                    6.1.9.2.3 Use case requirements related to application of ML output
          6.1.10 ML-based utility maximization of sliced backhauls
               6.1.10.1 Use case description
               6.1.10.2 Use case requirements
                    6.1.10.2.1 Use case requirements related to data collection
                    6.1.10.2.2 Use case requirements related to data storage and processing
                    6.1.10.2.3 Use case requirements related to application of ML output
          6.1.11 Energy efficient trusted multi-tenancy in IMT-2020 cross-haul
               6.1.11.1 Use case description
               6.1.11.2 Use case requirements
                    6.1.11.2.1 Use case requirements related to data collection
                    6.1.11.2.2 Use case requirements related to data storage and processing
                    6.1.11.2.3 Use case requirements related to application of ML output
          6.1.12 Network slice SLA assurance based on ML
               6.1.12.1 Use case description
               6.1.12.2 Use case requirements
                    6.1.12.2.1 Use case requirements related to data collection
                    6.1.12.2.2 Use case requirements related to data storage and processing
                    6.1.12.2.3 Use case requirements related to application of ML output
          6.1.13 Service management for smart cities
               6.1.13.1 Use case description
               6.1.13.2 Use case requirements
                    6.1.13.2.1 Use case requirements related to data collection
                    6.1.13.2.2 Use case requirements related to data storage and processing
                    6.1.13.2.3 Use case requirements related to application of ML output
          6.1.14 Automated testing of services
               6.1.14.1 Use case description
               6.1.14.2 Use case requirements
                    6.1.14.2.1 Use case requirements related to data collection
                    6.1.14.2.2 Use case requirements related to data storage and processing
                    6.1.14.2.3 Use case requirements related to application of ML output
     6.2 User plane-related use cases
          6.2.1 Traffic classification
               6.2.1.1 Use case description
               6.2.1.2 Use case requirements
                    6.2.1.2.1 Use case requirements related to data collection
                    6.2.1.2.2 Use case requirements related to data storage and processing
                    6.2.1.2.3 Use case requirements related to application of ML output
          6.2.2 Long-term traffic forecasting
               6.2.2.1 Use case description
               6.2.2.2 Use case requirements
                    6.2.2.2.1 Use case requirements related to data collection
                    6.2.2.2.2 Use case requirements related to data storage and processing
                    6.2.2.2.3 Use case requirements related to application of ML output
          6.2.3 Emergency services based on ML
               6.2.3.1 Use case description
               6.2.3.2 Use case requirements
                    6.2.3.2.1 Use case requirements related to data collection
                    6.2.3.2.2 Use case requirements related to data storage and processing
                    6.2.3.2.3 Use case requirements related to application of ML output
     6.3 Application-related use cases
          6.3.1 AN-assisted transmission control protocol window optimization
               6.3.1.1 Use case description
               6.3.1.2 Use case requirements
                    6.3.1.2.1 Use case requirements related to data collection
                    6.3.1.2.2 Use case requirements related to data storage and processing
                    6.3.1.2.3 Use case requirements related to application of ML output
          6.3.2 Retention and storage intelligence function
               6.3.2.1 Use case description
               6.3.2.2 Use case requirements
                    6.3.2.2.1 Use case requirements related to data collection
                    6.3.2.2.2 Use case requirements related to data storage and processing
                    6.3.2.2.3 Use case requirements related to application of ML output
          6.3.3 Data-driven architecture for ML at the edge
               6.3.3.1 Use case description
               6.3.3.2 Use case requirements
                    6.3.3.2.1 Use case requirements related to data collection
                    6.3.3.2.2 Use case requirements related to data storage and processing
                    6.3.3.2.3 Use case requirements related to application of ML output
     6.4 Signalling or management related use cases
          6.4.1 ML-based mobility pattern prediction
               6.4.1.1 Use case description
               6.4.1.2 Use case requirements
                    6.4.1.2.1 Use case requirements related to data collection
                    6.4.1.2.2 Use case requirements related to data storage and processing
                    6.4.1.2.3 Use case requirements related to application of ML output
          6.4.2 Load balance and cell splitting/merging
               6.4.2.1 Use case description
               6.4.2.2 Use case requirements
                    6.4.2.2.1 Use case requirements related to data collection
                    6.4.2.2.2 Use case requirements related to data storage and processing
                    6.4.2.2.3 Use case requirements related to application of ML output
          6.4.3 ML-based QoE optimization
               6.4.3.1 Use case description
               6.4.3.2 Use case requirements
                    6.4.3.2.1 Use case requirements related to data collection
                    6.4.3.2.2 Use case requirements related to data storage and processing
                    6.4.3.2.3 Use case requirements related to application of ML output
          6.4.4 ML-based network management for Industry 4.0
               6.4.4.1 Use case description
               6.4.4.2 Use case requirements
                    6.4.4.2.1 Use case requirements related to data collection
                    6.4.4.2.2 Use case requirements related to data storage and processing
                    6.4.4.2.3 Use case requirements related to application of ML output
          6.4.5 ML-based correlations between transport KPIs and radio KPIs
               6.4.5.1 Use case description
               6.4.5.2 Use case requirements
                    6.4.5.2.1 Use case requirements related to data collection
                    6.4.5.2.2 Use case requirements related to data storage and processing
                    6.4.5.2.3 Use case requirements related to application of ML output
          6.4.6 ML-based end-to-end network management
               6.4.6.1 Use case description
               6.4.6.2 Use case requirements
                    6.4.6.2.1 Use case requirements related to data collection
                    6.4.6.2.2 Use case requirements related to data storage and processing
                    6.4.6.2.3 Use case requirements related to application of ML output
          6.4.7 ML-aided channel modelling and channel prediction
               6.4.7.1 Use case description
               6.4.7.2 Use case requirements
                    6.4.7.2.1 Use case requirements related to data collection
                    6.4.7.2.2 Use case requirements related to data storage and processing
                    6.4.7.2.3 Use case requirements related to application of ML output
          6.4.8 ML-based link adaptation optimization
               6.4.8.1 Use case description
               6.4.8.2 Use case requirements
                    6.4.8.2.1 Use case requirements related to data collection
                    6.4.8.2.2 Use case requirements related to data storage and processing
                    6.4.8.2.3 Use case requirements related to application of ML output
     6.5 Security related use cases
          6.5.1 Combating use of counterfeit ICT devices – ML-assisted network service
               6.5.1.1 Use case description
               6.5.1.2 Use case requirements
                    6.5.1.2.1 Use case requirements related to data collection
                    6.5.1.2.2 Use case requirements related to data storage and processing
                    6.5.1.2.3 Use case requirements related to application of ML output
          6.5.2 ML-based identification of illegal exchanges using SIM boxes
               6.5.2.1 Use case description
               6.5.2.2 Use case requirements
                    6.5.2.2.1 Use case requirements related to data collection
                    6.5.2.2.2 Use case requirements related to data storage and processing
                    6.5.2.2.3 Use case requirements related to application of ML output
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