(New)GTI 5G Intelligent Network White Paper

Report in Collaboration with the GSMA Highlights Best Practice from National 5G Plans

2020-11-20 18:34:10 | Source:

 1 Executive Summary 6

 

2 Reference 7

 

3 Abbreviations 9

 

4 Introduction 11

 

5 Standardization and Industry Status 13

5.1 Motivation and Overview 13

5.2 Activities in ITU 13

5.3 Activities in 3GPP 14

5.4 Activities in ETSI 14

5.5 Activities in CCSA 15

5.6 Activities in Industry Parties 15

5.7 Summary 16

 

6 Use Cases 17

6.1 Introduction 17

6.2 Classification for Use Cases 17

6.2.1 Full Life Cycle Dimension 17

6.2.2 Functional Entity Dimension 17

6.3 Use Cases of Network and Service Maintenance 18

6.3.1 Energy Saving 18

6.3.2 Root Cause Analysis of Alarm 25

6.3.3 Root Cause Analysis of Cell Performance Issue 26

6.3.4 Subscriber Complaint Handling 28

6.4 Use Cases of Network and Service Optimization 29

6.4.1 NR Network UE Throughput Optimization 29

6.4.2 NR Network Coverage Optimization 32

6.4.3 ML-Based MU-MIMO Scheduler 35

6.4.4 Link Adaptation 37

6.4.5 Load Balancing Based on the Virtual Grid Technology 39

6.4.6 QoE Optimization 42

6.4.7 Edge QoS 44

6.4.8 Transport Network Optimization 46

 

7 Intelligent Network Level 49

7.1 Introduction 49

7.1.1 Framework Approach for Classification of Intelligent Network Levels 49

7.2 INL Evaluation of Typical Use Cases 51

7.2.1 Energy Saving 51

7.2.2 NR Network Coverage Optimization 52

7.2.3 NR Network UE Throughput Optimization 53

7.2.4 Root Cause Analysis of Cell Performance Issue 55

7.2.5 Root Cause Analysis of Alarm 56

7.3 Summary 57

 

8 Intelligent Network Architecture 58

8.1 Introduction 58

8.2 Framework Architecture of Intelligent Network 58

8.2.1 Use Cases Classification 59

8.3 Architecture of Typical Use Cases 60

8.3.1 QoE Optimization 60

8.3.2 ML-Based MU-MIMO Scheduler 61

8.3.3 Root Cause Analysis of Alarm 61

8.3.4 Link Adaptation 62

8.3.5 Energy Saving 63

8.4 Summary 64

 

9 Intelligent Network Elements 65

9.1 Introduction 65

9.2 Function Requirements for Network Elements 65

9.2.1 Multi-Dimensional Data Collection and Reporting 65

9.2.2 Intelligent Data Modelling 65

9.2.3 Data Storage and AI Computing Capability 65

9.2.4 Intelligent Feedback and Closed-loop Control 66

9.2.5 AI Model Interactionn 66

 

10 Intelligent Network Management 67

10.1 Introduction 67

10.2 Function Requirements for Network Management 67

10.2.1 Data Collection and Reporting 67

10.2.2 Data Analysis and Modelling 67

10.2.3 Network Management and Control 68

 

11 Conclusion and Recommendation 69下载图片.jpg

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