Research on business oriented 5G base station energy saving system based on AI deep learning
Due to the needs of 5G business development, the number of 5G base stations has increased, resulting in a sharp increase in the electricity cost of operators.Energy saving and consumption reduction has become the sustainable development demand of operators.Based on the research of mainstream 5G base...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2021-11-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021249/ |
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| _version_ | 1841528838741295104 |
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| author | Mengqiang XU |
| author_facet | Mengqiang XU |
| author_sort | Mengqiang XU |
| collection | DOAJ |
| description | Due to the needs of 5G business development, the number of 5G base stations has increased, resulting in a sharp increase in the electricity cost of operators.Energy saving and consumption reduction has become the sustainable development demand of operators.Based on the research of mainstream 5G base station energy-saving mode and multi-directional 5G energy-saving scheme, a 5G base station energy-saving system based on a variety of AI algorithms was proposed.Through the high-precision service identification at the level of single SIM card, the best strategy of 5G base station flexible energy-saving was realized on the basis of ensuring the stable operation of 5G important services and other types of services. |
| format | Article |
| id | doaj-art-4125a4a08dcb4651a30c5a8ae8fa9408 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2021-11-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-4125a4a08dcb4651a30c5a8ae8fa94082025-01-15T03:33:05ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012021-11-013714315159816111Research on business oriented 5G base station energy saving system based on AI deep learningMengqiang XUDue to the needs of 5G business development, the number of 5G base stations has increased, resulting in a sharp increase in the electricity cost of operators.Energy saving and consumption reduction has become the sustainable development demand of operators.Based on the research of mainstream 5G base station energy-saving mode and multi-directional 5G energy-saving scheme, a 5G base station energy-saving system based on a variety of AI algorithms was proposed.Through the high-precision service identification at the level of single SIM card, the best strategy of 5G base station flexible energy-saving was realized on the basis of ensuring the stable operation of 5G important services and other types of services.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021249/5G base station energy savinghigh precision service identificationintelligent decision-making |
| spellingShingle | Mengqiang XU Research on business oriented 5G base station energy saving system based on AI deep learning Dianxin kexue 5G base station energy saving high precision service identification intelligent decision-making |
| title | Research on business oriented 5G base station energy saving system based on AI deep learning |
| title_full | Research on business oriented 5G base station energy saving system based on AI deep learning |
| title_fullStr | Research on business oriented 5G base station energy saving system based on AI deep learning |
| title_full_unstemmed | Research on business oriented 5G base station energy saving system based on AI deep learning |
| title_short | Research on business oriented 5G base station energy saving system based on AI deep learning |
| title_sort | research on business oriented 5g base station energy saving system based on ai deep learning |
| topic | 5G base station energy saving high precision service identification intelligent decision-making |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021249/ |
| work_keys_str_mv | AT mengqiangxu researchonbusinessoriented5gbasestationenergysavingsystembasedonaideeplearning |