Content for TR 23.700-91 Word version: 17.0.0
5 Use Cases and Key Issues p. 19
5.1 Use Cases p. 19
5.1.1 Use Case #1: NWDAF-assisted RAT/frequency selection p. 19
5.1.1.1 Description p. 19
5.1.2 Use Case #2: NWDAF supporting detection of anomaly events and helping in analysing its cause p. 19
5.1.2.1 Description p. 19
5.1.3 Use Case #3: NWDAF support for dispersion analytics p. 19
5.1.3.1 Description p. 19
5.1.4 Use Case #4: Analytics Assisted Smart City Applications p. 20
5.1.4.1 Description p. 20
5.1.5 Use Case #5: NWDAF supporting the detection of cyber-attacks p. 20
5.1.5.1 Description p. 20
5.1.6 Use Case #6: Supporting edge computing p. 21
5.1.6.1 Description p. 21
5.1.7 Use Case #7: Real-time data collection and analytics delivery by NWDAF p. 21
5.1.7.1 Description p. 21
5.2 Key Issues p. 22
5.2.1 Key Issue #1: Logical decomposition of NWDAF and possible interactions between logical functions p. 22
5.2.1.1 Description p. 22
5.2.1.2 Requirements p. 22
5.2.2 Key Issue #2: Multiple NWDAF instances p. 22
5.2.2.1 Description p. 22
5.2.2.2 Requirements p. 23
5.2.3 Key Issue #3: Mapping of NWDAF use cases to NFs and identify actions that could be taken based on NWDAF analytics and predictions p. 23
5.2.3.1 Description p. 23
5.2.3.2 Requirements p. 23
5.2.4 Key Issue #4: Remaining aspects on how to ensure that slice SLA is guaranteed p. 23
5.2.4.1 Description p. 23
5.2.4.2 Requirements p. 24
5.2.5 Key Issue #5: New types of outputs provided by NWDAF p. 24
5.2.5.1 Description p. 24
5.2.5.2 Requirements p. 25
5.2.6 Key Issue #6: Study possible mechanisms for improved correctness of NWDAF analytics p. 25
5.2.6.1 Description p. 25
5.2.6.2 Requirements p. 25
5.2.7 Key Issue #7: Adding Application attributes and KPIs as the Input data in some services described in TS 23.288 [5] p. 25
5.2.7.1 Description p. 25
5.2.7.2 Requirements p. 26
5.2.8 Key Issue #8: UE data as an input for analytics generation p. 26
5.2.8.1 Description p. 26
5.2.8.2 Requirements p. 27
5.2.9 Key Issue #9: Dispersion analytic output provided by NWDAF p. 27
5.2.9.1 Description p. 27
5.2.9.2 Requirements p. 27
5.2.10 Key Issue #10: NWDAF Assisted UP Optimization p. 27
5.2.10.1 Description p. 27
5.2.10.2 Requirements p. 28
5.2.11 Key Issue #11: Increasing efficiency of data collection p. 28
5.2.11.1 General Description p. 28
5.2.11.2 Requirements p. 29
5.2.12 Key issue #12: NWDAF-assisted RFSP policy p. 29
5.2.12.1 Description p. 29
5.2.12.2 Requirements p. 29
5.2.13 Key Issue #13: Triggering conditions for analytics p. 29
5.2.13.1 Description p. 29
5.2.13.2 Requirements p. 30
5.2.14 Key Issue #14: NWDAF-assisted application detection p. 30
5.2.14.1 Description p. 30
5.2.14.2 Requirements p. 30
5.2.15 Key Issue #15: User consent for UE data collection/analysis p. 30
5.2.15.1 Description p. 30
5.2.15.2 Requirements p. 30
5.2.16 Key Issue #16: UP optimization for edge computing p. 30
5.2.16.1 Description p. 30
5.2.16.2 Requirements p. 31
5.2.17 Key Issue #17: Definition of accuracy levels p. 31
5.2.17.1 Description p. 31
5.2.17.2 Requirements p. 31
5.2.18 Key Issue #18: Enhancement for real-time communication with NWDAF p. 31
5.2.18.1 Description p. 31
5.2.18.2 Requirements p. 32
5.2.19 Key Issue #19: Trained data model sharing between multiple NWDAF instances p. 32
5.2.19.1 Description p. 32
5.2.19.2 Requirements p. 32
5.2.20 Key Issue #20: NWDAF assisting in detecting anomaly events for the user plane p. 32
5.2.20.1 Description p. 32
5.2.20.2 Requirements p. 33
5.2.21 Key Issue #21: NWDAF assisting in user plane performance p. 33
5.2.21.1 Description p. 33
5.2.21.2 Requirements p. 33
