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Work item:
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L.Suppl.43 (ex L.Suppl.ses5Gbs)
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Subject/title:
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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
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Status:
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Agreed on 2021-05-20
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Approval process:
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Agreement
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Type of work item:
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Supplement
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Version:
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New
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Equivalent number:
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-
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Timing:
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-
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Liaison:
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-
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Supporting members:
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China Telecommunications Corporation
ZTE
Telecom Italia
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Summary:
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This Supplement explores how network energy saving technologies that have emerged since the 4G era, such as carrier shutdown, channel shutdown, symbol shutdown etc., can be leveraged to mitigate 5G energy consumption. It also analyses how enhanced technologies like deep sleep, symbol aggregation shutdown etc., have been developing in the 5G era. This report aims to detail these fundamentals.
However, it is far away from being enough, a revolutionized energy saving solution should be taken into consideration. In response to the requirement of an intelligent and self-adaptive energy saving solution, artificial intelligence (AI) and big data technology are introduced to form a more precise energy saving strategy based on specific site traffic and other site-related conditions, thus improving the efficiency and reducing the manpower required. More details about AI-driven smart energy saving solution will be elaborated.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2021-05-31 15:00:54
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Last update:
2021-07-22 17:49:46
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