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Content for  TR 23.700-91  Word version:  17.0.0

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7  Overall Evaluationp. 336

7.0  Summary of analytics provided by NWDAFp. 336

7.1  Key Issue #1: Logical decomposition of NWDAF and possible interactions between logical functionsp. 338

7.2  Key Issue #2: Multiple NWDAF instancesp. 339

7.4  Key Issue #4: Remaining aspects on how to ensure that slice SLA is guaranteedp. 347

7.7  Key Issue #7 Adding Application attributes and KPIs as the Input data in some services described in TS 23.288 [5]p. 348

7.8  Key Issue #8: UE data as an input for analytics generationp. 349

7.9  Key Issue #9: Dispersion Analytics output provided by NWDAFp. 350

7.10  Key Issue #10: NWDAF Assisted UP Optimizationp. 351

7.11  Key Issue #11: Increasing efficiency of data collectionp. 351

7.12  Key Issue #12: NWDAF-assisted RFSP policyp. 360

7.13  Key Issue #13: Triggering conditions for analyticsp. 361

7.14  Key Issue #14: NWDAF-assisted application detectionp. 364

7.15  Key Issue #15: User consent for UE data collection/analysisp. 364

7.16  Key Issue #16: UP optimization for edge computingp. 364

7.17  Key issue #17: Definition of accuracy levelsp. 365

7.18  Key Issue #18: Enhancement for real-time communication with NWDAFp. 365

7.19  Key Issue #19: Trained data model sharing between multiple NWDAF instancesp. 365

7.20  Key Issue #20: NWDAF assisting in detecting anomaly events for the user planep. 366

7.21  Key Issue #21: NWDAF assisting in user plane performancep. 366

8  Conclusionsp. 366

8.1  Key Issue #1: Logical decomposition of NWDAF and possible interactions between logical functionsp. 366

8.2  Key Issue #2: Multiple NWDAF instancesp. 367

8.4  Key Issue #4: Remaining aspects on how to ensure that slice SLA is guaranteedp. 369

8.7  Key Issue #7: Adding Application attributes and KPIs as the Input data in some services described in TS 23.288 [5]p. 370

8.8  Key Issue #8: UE data as an input for analytics generationp. 370

8.9  Key Issue #9: Dispersion Analytics output provided by NWDAFp. 371

8.10  Key Issue #10: NWDAF Assisted UP Optimizationp. 372

8.11  Key Issue #11: Increasing efficiency of data collectionp. 372

8.12  Key Issue #12: NWDAF-assisted RFSP policyp. 374

8.13  Key Issue #13: Triggering conditions for analyticsp. 375

8.15  Key Issue #15: User consent for UE data collection/analysisp. 375

8.16  Key Issue #16: UP optimization for edge computingp. 375

8.17  Key issue #17: Definition of accuracy levelsp. 376

8.18  Key Issue #18: Enhancement for real-time communication with NWDAFp. 376

8.19  Key Issue #19: Trained data model sharing between multiple NWDAF instancesp. 376

8.20  Key Issue #20: NWDAF assisting in detecting anomaly events for the user planep. 376

8.21  Key Issue #21: NWDAF assisting in user plane performancep. 376

$  Change historyp. 377


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