Decomposition Model Assisted Energy-Saving Design in Radio Access Network
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arXiv
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| Hauptverfasser: | , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866911857174904832 |
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| author | Zhao, Xiaoxue Yu, Yijun Li, Yexing Li, Dong Wang, Yao Yang, Chungang |
| author_facet | Zhao, Xiaoxue Yu, Yijun Li, Yexing Li, Dong Wang, Yao Yang, Chungang |
| contents | The continuous emergence of novel services and massive connections involve huge energy consumption towards ultra-dense radio access networks. Moreover, there exist much more number of controllable parameters that can be adjusted to reduce the energy consumption from a network-wide perspective. However, a network-level energy-saving intent usually contains multiple network objectives and constraints. Therefore, it is critical to decompose a network-level energy-saving intent into multiple levels of configurated operations from a top-down refinement perspective. In this work, we utilize a softgoal interdependency graph decomposition model to assist energy-saving scheme design. Meanwhile, we propose an energy-saving approach based on deep Q-network, which achieve a better trade-off among the energy consumption, the throughput, and the first packet delay. In addition, we illustrate how the decomposition model can assist in making energy-saving decisions. Evaluation results demonstrate the performance gain of the proposed scheme in accelerating the model training process. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_18418 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Decomposition Model Assisted Energy-Saving Design in Radio Access Network Zhao, Xiaoxue Yu, Yijun Li, Yexing Li, Dong Wang, Yao Yang, Chungang Networking and Internet Architecture Systems and Control The continuous emergence of novel services and massive connections involve huge energy consumption towards ultra-dense radio access networks. Moreover, there exist much more number of controllable parameters that can be adjusted to reduce the energy consumption from a network-wide perspective. However, a network-level energy-saving intent usually contains multiple network objectives and constraints. Therefore, it is critical to decompose a network-level energy-saving intent into multiple levels of configurated operations from a top-down refinement perspective. In this work, we utilize a softgoal interdependency graph decomposition model to assist energy-saving scheme design. Meanwhile, we propose an energy-saving approach based on deep Q-network, which achieve a better trade-off among the energy consumption, the throughput, and the first packet delay. In addition, we illustrate how the decomposition model can assist in making energy-saving decisions. Evaluation results demonstrate the performance gain of the proposed scheme in accelerating the model training process. |
| title | Decomposition Model Assisted Energy-Saving Design in Radio Access Network |
| topic | Networking and Internet Architecture Systems and Control |
| url | https://arxiv.org/abs/2404.18418 |