Author:
Choi Minsuk,Kim Kyungrae,Jang Hongjun,Woo Hyokyung,Pujol-Roig Joan S.,Wang Yue,Yeon Hunje,Choi Sunghyun,Jang Seowoo
Reference19 articles.
1. Q-Learning Assisted Energy-Aware Traffic Offloading and Cell Switching in Heterogeneous Networks
2. Deep Convolutional Neural Network Assisted Reinforcement Learning Based Mobile Network Power Saving
3. Deep reinforcement learning for cell on/off energy saving on wireless networks;pujol;IEEE Global Communications Conference (Globecom),2021
4. A Flexible and Future-Proof Power Model for Cellular Base Stations
5. Deep reinforcement learning for intelligent transportation systems: A survey;haydari;IEEE Transactions on Intelligent Transportation Systems (T-ITS),2020
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4. QoE-aware network energy savings in 5G;2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN);2024-05-05
5. Energy Saving in Cellular Wireless Networks via Transfer Deep Reinforcement Learning;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04