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Content for  TR 23.700-91  Word version:  17.0.0

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5  Use Cases and Key Issuesp. 19

5.1  Use Casesp. 19

5.2  Key Issuesp. 22

5.2.1  Key Issue #1: Logical decomposition of NWDAF and possible interactions between logical functionsp. 22

5.2.2  Key Issue #2: Multiple NWDAF instancesp. 22

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 predictionsp. 23

5.2.4  Key Issue #4: Remaining aspects on how to ensure that slice SLA is guaranteedp. 23

5.2.5  Key Issue #5: New types of outputs provided by NWDAFp. 24

5.2.6  Key Issue #6: Study possible mechanisms for improved correctness of NWDAF analyticsp. 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

5.2.8  Key Issue #8: UE data as an input for analytics generationp. 26

5.2.9  Key Issue #9: Dispersion analytic output provided by NWDAFp. 27

5.2.10  Key Issue #10: NWDAF Assisted UP Optimizationp. 27

5.2.11  Key Issue #11: Increasing efficiency of data collectionp. 28

5.2.12  Key issue #12: NWDAF-assisted RFSP policyp. 29

5.2.13  Key Issue #13: Triggering conditions for analyticsp. 29

5.2.14  Key Issue #14: NWDAF-assisted application detectionp. 30

5.2.15  Key Issue #15: User consent for UE data collection/analysisp. 30

5.2.16  Key Issue #16: UP optimization for edge computingp. 30

5.2.17  Key Issue #17: Definition of accuracy levelsp. 31

5.2.18  Key Issue #18: Enhancement for real-time communication with NWDAFp. 31

5.2.19  Key Issue #19: Trained data model sharing between multiple NWDAF instancesp. 32

5.2.20  Key Issue #20: NWDAF assisting in detecting anomaly events for the user planep. 32

5.2.21  Key Issue #21: NWDAF assisting in user plane performancep. 33


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