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TR 28.866
Study on Management Data Analytics (MDA) - Phase 3

3GPP‑Page   fToC↓   Partial Content →
V19.0.0 (Wzip)  2024/12  37 p.
Rapporteur:
Mr. Hassett, Brendan
HUAWEI TECHNOLOGIES Co. Ltd.

full Table of Contents for  TR 28.866  Word version:  19.0.0

each clause number in 'red' refers to the equivalent title in the Partial Content
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1Scope  p. 8
2References  p. 8
3Definitions of terms, symbols and abbreviations  p. 9
3.1Terms  p. 9
3.2Symbols  p. 9
3.3Abbreviations  p. 9
4Concept and background  p. 9
5Use cases  p. 9
5.1Energy efficiency analytics  p. 9
5.1.1Use case 1: Energy Saving based on throughput requirements  p. 9
5.1.1.1Description  p. 9
5.1.1.2Potential requirements  p. 10
5.1.1.3Potential solutions  p. 10
5.1.1.4Evaluation of solutions  p. 11
5.1.2Use case 2: Extension of Cell Energy Saving analytics  p. 11
5.1.2.1Description  p. 11
5.1.2.2Potential requirements  p. 12
5.1.2.3Potential solutions  p. 12
5.1.2.4Evaluation of solution  p. 12
5.2End-to-End performance analytics including Edge computing domain  p. 13
5.2.1Use case 1: Edge computing performance analytics  p. 13
5.2.1.1Description  p. 13
5.2.1.2Potential requirements  p. 13
5.2.1.3Potential solutions  p. 13
5.2.1.4Evaluation of solutions  p. 14
5.2.2Use case 2: Edge application deployment location analytics  p. 14
5.2.2.1Description  p. 14
5.2.2.2Potential Requirements  p. 14
5.2.2.3Potential solutions  p. 14
5.2.2.4Evaluation of solutions  p. 15
5.2.3Use case 3: Edge network topology mapping  p. 15
5.2.3.1Description  p. 15
5.2.3.2Potential Requirements  p. 16
5.2.3.3Potential solutions  p. 16
5.3Data correlation analytics  p. 16
5.3.1Description  p. 16
5.3.2Use case 1: Measurement data correlation analytics for ML training  p. 17
5.3.2.1Description  p. 17
5.3.2.2Potential requirements  p. 17
5.3.2.3Potential solutions  p. 17
5.3.2.3.1Possible solution for measurement data correlation analytics for ML training  p. 17
5.3.2.4Evaluation of solutions  p. 17
5.3.3Use case 2: Measurement data correlation analytics for threshold assessment and adjustment  p. 17
5.3.3.1Description  p. 17
5.3.3.2Potential requirement  p. 18
5.3.3.3Potential solutions  p. 18
5.3.3.4Evaluation of solutions  p. 18
5.3.4Use case 3: Multi-domain resource optimization (MARO)  p. 18
5.3.4.1Description  p. 18
5.3.4.2Potential requirements  p. 18
5.3.4.3Potential solutions  p. 19
5.3.4.4Evaluation of solutions  p. 19
5.3.5Use case 4: Handover and service data correlation analytics  p. 19
5.3.5.1Description  p. 19
5.3.5.2Potential requirements  p. 19
5.3.5.3Potential solutions  p. 20
5.3.5.3.1Possible solution for handover and service data correlation analytics  p. 20
5.3.5.4Evaluation of solutions  p. 20
5.3.6Use case 5: Correlation analytics for NF Scaling and dimensioning  p. 20
5.3.6.1Description  p. 20
5.3.6.2Potential requirements  p. 20
5.3.6.3Potential solution #1  p. 20
5.3.6.4Evaluation of solutions  p. 20
5.4ATSSS performance analytics  p. 21
5.4.1Use case 1: Traffic steering analysis  p. 21
5.4.1.1Description  p. 21
5.4.1.2Potential requirements  p. 21
5.4.1.3Potential solutions  p. 21
5.4.1.3.1Solution description  p. 21
5.4.1.3.2Data required  p. 22
5.4.1.3.3Analytics Report  p. 22
5.4.1.4Evaluation of solutions  p. 22
5.5UE throughput analytics  p. 22
5.5.1Use case 1: UE throughput analysis  p. 22
5.5.1.1Description  p. 22
5.5.1.2Potential requirements  p. 23
5.5.1.3Potential solutions  p. 23
5.5.1.4Evaluation of solutions  p. 24
5.5.2Use case 2: Network congestion analytics based on UE throughput  p. 24
5.5.2.1Description  p. 24
5.5.2.2Requirements  p. 24
5.5.2.3Potential solutions  p. 24
5.5.2.4Evaluation of solutions  p. 26
5.6Fault management related analytics and alarm prediction  p. 26
5.6.1Use case 1: Providing threshold statistics information for fault management  p. 26
5.6.1.1Description  p. 26
5.6.1.2Potential Requirements  p. 26
5.6.1.3Potential Solutions  p. 27
5.6.1.4Evaluation of solutions  p. 27
5.6.2Use case 2: Enhancing failure prediction  p. 27
5.6.2.1Description  p. 27
5.6.2.2Potential Requirements  p. 27
5.6.2.3Potential solutions  p. 28
5.6.2.4Evaluation of solutions  p. 28
5.6.3Use case 3: Enhancing service failure recovery  p. 28
5.6.3.1Description  p. 28
5.6.3.2Potential requirements  p. 28
5.6.3.3Potential solutions  p. 29
5.6.3.4Evaluation of solutions  p. 29
5.6.4Use case 4: NF failure evaluation  p. 29
5.6.4.1Description  p. 29
5.6.4.2Potential Requirements  p. 29
5.6.4.3Potential solutions  p. 29
5.6.4.4Evaluation of solutions  p. 30
5.6.5Use case 5: Management data collection recommendation for predicted failures  p. 30
5.6.5.1Description  p. 30
5.6.5.2Potential Requirements  p. 30
5.6.5.3Potential solution  p. 30
5.6.5.4Evaluation of solutions  p. 30
5.7Software upgrade validation  p. 31
5.7.1Use case 1: Software upgrade validation  p. 31
5.7.1.1Description  p. 31
5.7.1.2Potential requirements  p. 31
5.7.1.3Potential solutions  p. 31
5.7.1.4Evaluation of solutions  p. 32
5.8Control plane congestion analytics  p. 32
5.8.1Use case 1: Enhancing control plane congestion analysis  p. 32
5.8.1.1Description  p. 32
5.8.1.2Potential requirements  p. 32
5.8.1.3Potential solutions  p. 32
5.8.1.4Evaluation of solutions  p. 32
6Conclusions and recommendations  p. 33
6.1Energy efficiency analytics  p. 33
6.2End-to-End performance analytics including Edge computing domain  p. 33
6.3Data correlation analytics  p. 33
6.4ATSSS performance analytics  p. 33
6.5UE throughput analytics  p. 34
6.6Fault management related analytics and alarm prediction  p. 34
6.7Software upgrade validation  p. 34
6.8Control plane congestion analytics  p. 34
$Change history  p. 35

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