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 <\pre>