Intelligent Energy Saving Solution of 5G Base Station Based on
This article identifies energy-saving potential of the fifth generation (5G) Radio Access Network, and describes main energy-saving principles and technologies.
In future, this work can further be extended for more BSs and evaluated in terms of more parameters such as latency. Rumeng T, Tong W, Ying S, Yanpu H (2021) Intelligent energy saving solution of 5G base station based on artificial intelligence technologies.
The energy consumption of 5G networks is one of the pressing concerns in green communications. Recent research is focused towards energy saving techniques of base stations (BSs). BSs are one of the most power consuming elements of a 5G network. It is important to model their energy consumption for analyzing overall energy efficiency of a network.
This document contains Version 1.0 of the ITU-T Technical Report on “Smart Energy Saving of 5G Base Station: Based on AI and other emerging technologies to forecast and optimize the management of 5G wireless network energy consumption” approved at the ITU-T Study Group 5 meeting held online, 20th May, 2021. 3.1.
AI algorithms can predict potential equipment failures and schedule maintenance proactively, reducing downtime and maintaining optimal energy efficiency. This technology ensures that telecom sites operate smoothly and that energy consumption is kept to a minimum. 6. Cost Savings and Improved Operational Efficiency
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