Decomposition Model Assisted Energy-Saving Design in Radio Access Network
<|reference_start|>Decomposition Model Assisted Energy-Saving Design in Radio Access Network: 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.<|reference_end|>
@article{zhao2024decomposition,
    title={Decomposition Model Assisted Energy-Saving Design in Radio Access
  Network},
    author={Xiaoxue Zhao, Yijun Yu, Yexing Li, Dong Li, Yao Wang and Chungang Yang},
    journal={arXiv preprint arXiv:2404.18418},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.18418},
    primaryClass={cs.NI cs.SY eess.SY}
}