Paper: Tingwei Chen, Yantao Wang, Hanzhi Chen, Zijian Zhao, Xinhao Li, Nicola Piovesan, Guangxu Zhu*, Qingjiang Shi, "Modelling the 5G Energy Consumption using Real-world Data: Energy Fingerprint is All You Need" (under way)
Notice: The original data used in our paper cannot be publicly accessed due to copyright restrictions. Therefore, we implemented our method on a similar task instead.
The dataset is sourced from the HKUST COMP 5212 course project (Deed - Attribution-NonCommercial-ShareAlike 4.0 International - Creative Commons). A brief course report is provided for your reference.
To execute the program, please use the following command:
python main.py --arl --norm@article{chen2024modelling,
title={Modelling the 5G Energy Consumption using Real-world Data: Energy Fingerprint is All You Need},
author={Chen, Tingwei and Wang, Yantao and Chen, Hanzhi and Zhao, Zijian and Li, Xinhao and Piovesan, Nicola and Zhu, Guangxu and Shi, Qingjiang},
journal={arXiv preprint arXiv:2406.16929},
year={2024}
}