Supplement 43 to ITU-T L-series Recommendations (05/2021) Smart energy saving of 5G base stations: Traffic forecasting and strategy optimization of 5G wireless network energy consumption based on artificial intelligence and other emerging technologies
Summary
History
FOREWORD
Table of Contents
1 Scope
2 References
3 Definitions
     3.1 Terms defined elsewhere
     3.2 Terms defined in this Supplement
4 Abbreviations and acronyms
5 Conventions
6 Specific contents
7 Energy-saving technologies for a base station
     7.1 Basic software energy-saving technologies for a base station
          7.1.1 The fundamentals of a 4G base station
               7.1.1.1 Carrier frequency block
               7.1.1.2 Carrier frequency shutdown
               7.1.1.3 Channel shutdown
               7.1.1.4 Symbol or slot shutdown
          7.1.2 The fundamentals of a 5G base station
               7.1.2.1 Equipment deep sleep
               7.1.2.2 LTE/NR carrier cooperative shutdown
               7.1.2.3 Enhanced channel shutdown
               7.1.2.4 Symbol aggregation shutdown
     7.2 Recommended strategy for 4G/5G fundamentals
8 Smart energy-saving solutions based on AI
     8.1 Overview of AI technology
     8.2 AI-based energy saving for 5G base stations
     8.3 Energy-saving scheme architecture based on AI
     8.4 Recommended energy-saving procedure based on AI
     8.5 Forecasting algorithms comparison in network traffic load
     8.6 Service awareness energy saving for a 5G base station
9 Future prospects
Bibliography
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