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GTI 5G Autonomous Network White Paper_v2.0

2021-12-30 16:02:00| Source:

Table of Contents


GTI 5G Autonomous Network White Paper 2


Document History 3


1 Executive Summary 7


2 Reference 9


3 Abbreviations 13


4 Introduction 15


5 Standardization and Industry Status 17

5.1 Motivation and Overview 17

5.2 Activities in ITU-T 17

5.3 Activities in 3GPP 18

5.4 Activities in TMF 19

5.5 Activities in ETSI 20

5.6 Activities in CCSA 21

5.7 Activities in GSMA 22

5.8 Summary 23


6 Use Cases 24

6.1 Introduction 24

6.2 Classification for Use Cases 24

6.2.1 Full Life Cycle Dimension 24

6.2.2 Functional Entity Dimension 24

6.3 Use Case of Network and Service Planning 25

6.3.1 Capacity Prediction for Network Planning and Evolution 25

6.4 Use cases of Network and Service Deployment 26

6.5 Use Cases of Network and Service Maintenance 27

6.5.1 Energy Saving 27

6.5.2 AI Powered MIMO Sleep 34

6.5.3 Root Cause Analysis of Alarm 35

6.5.4 Root Cause Analysis of Cell Performance Issue 37

6.6 Use Case of Network and Service Optimization 39

6.6.1 Intelligent Neighbor Cell Configuration and Optimization 39

6.6.2 Mobility enhancement Based on Machine Learning 41

6.6.3 Abnormal Detection Trial 44

6.6.4 NR Network UE Throughput Optimization 48

6.6.5 NR Network Coverage Optimization 50

6.6.6 ML-Based MU-MIMO Scheduler 53

6.6.7 Link Adaptation 55

6.6.8 Load Balancing Based on the Virtual Grid Technology 57

6.6.9 QoE Optimization 60

6.6.10 Edge QoS 62

6.6.11 Transport Network Optimization 64

6.7 Use Case of Network and Service Operation 66

6.7.1 Subscriber Complaint Handling 66

6.7.2 Intelligent Video Service Quality Analysis 68

6.7.3 Automatic Wireless Broadband Service Provisioning 70


7 Essential Capacities 72

7.1 Introduction 72

7.2 Autonomous Perception 72

7.2.1 Description 72

7.2.2 Implementation 73

7.2.3 Application and Performance 74

7.2.4 Summary 75

7.3 Autonomous Diagnosis 75

7.3.1 Description 75

7.3.2 Implementation 76

7.3.3 Application and Performance 77

7.4 Autonomous Prediction 77

7.4.1 Description of Predictive Intelligence 77

7.4.2 Key Considerations for Implementation of Predictive Intelligence 78

7.4.3 Application and Performance 79

7.5 Autonomous Control 82

7.5.1 Overview 82

7.5.2 Application and Performance 83

7.6 Relationships among the Essential Capacities 85

7.7 Summary 86


8 Autonomous Network Level 87

8.1 Introduction 87

8.2 Framework Approach for Classification of Autonomous Network Levels 87

8.3 ANL Evaluation of Typical Use Cases 89

8.3.1 ANL Evaluation in Commercial Province Network 89

8.3.2 Automatic Wireless Broadband Service Provisioning 92

8.3.3 Root Cause Analysis of Cell Performance Issue 94


9 Autonomous Network Architecture 96

9.1 Introduction 96

9.2 Framework Architecture of Autonomous Network 96

9.2.1 Use Cases Classification 97

9.3 Architecture of Typical Use Cases 98

9.3.1 QoE Optimization 98

9.3.2 ML-Based MU-MIMO Scheduler 99

9.3.3 Root Cause Analysis of Alarm 99

9.3.4 Link Adaptation 100

9.3.5 Energy Saving 101

9.4 Summary 102


10 Autonomous Network Elements 103

10.1 Multi-Dimensional Data Collection and Reporting 103

10.2 Intelligent Data Modeling 103

10.3 Data Storage and AI Computing Capability 103


11 Autonomous Network Management 104

11.1 Introduction 104

11.2 Function Requirements for Network Management 104

11.2.1 Data Collection and Reporting 104

11.2.2 Data Analysis and Modelling 104

11.2.3 Network Management and Control 105


12 Further Studies 106

12.1 Trust in Autonomous Networks 106

12.1.1 Overview 106

12.1.2 General Process of trusted AN 108

12.2 Life Cycle Management 109


13 Conclusions and Recommendation 111

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