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2020 – today
- 2024
[j8]Xiaowen Ye
, Liqun Fu, John M. Cioffi:
Joint Codebook Selection and MCS Adaptation for MmWave eMBB Services Based on Deep Reinforcement Learning. IEEE Internet Things J. 11(19): 31545-31560 (2024)- [j7]Xiaowen Ye, Liqun Fu:
Joint MCS Adaptation and RB Allocation in Cellular Networks Based on Deep Reinforcement Learning With Stable Matching. IEEE Trans. Mob. Comput. 23(1): 549-565 (2024) - [j6]Xiaowen Ye, Liqun Fu:
Joint Codebook Selection and UE Scheduling for Unlicensed MmWave NR-U/WiGig Coexistence Based on Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 23(9): 8919-8934 (2024) - [j5]Xiaowen Ye, Qian Zhou, Liqun Fu:
Deep Reinforcement Learning-Based Scheduling for NR-U/WiGig Coexistence in Unlicensed mmWave Bands. IEEE Trans. Wirel. Commun. 23(1): 58-73 (2024) - 2023
- [j4]Xiaowen Ye, Yiding Yu, Liqun Fu:
Deep Reinforcement Learning Based Link Adaptation Technique for LTE/NR Systems. IEEE Trans. Veh. Technol. 72(6): 7364-7379 (2023) - [c4]Jiajie Huang, Xiaowen Ye, Liqun Fu:
MAC Protocol for Underwater Acoustic Multi-Cluster Networks Based on Multi-Agent Reinforcement Learning. WUWNet 2023: 10:1-10:5 - 2022
- [j3]Xiaowen Ye, Yiding Yu, Liqun Fu:
Deep Reinforcement Learning Based MAC Protocol for Underwater Acoustic Networks. IEEE Trans. Mob. Comput. 21(5): 1625-1638 (2022) - [j2]Xiaowen Ye, Yiding Yu, Liqun Fu:
Multi-Channel Opportunistic Access for Heterogeneous Networks Based on Deep Reinforcement Learning. IEEE Trans. Wirel. Commun. 21(2): 794-807 (2022) - [c3]Qian Zhou, Xiaowen Ye, Liqun Fu:
Deep Reinforcement Learning Based Scheduling Scheme for the NR-U/WiGig Coexistence in Unlicensed mmWave Bands. ICC 2022: 4468-4473 - 2021
- [j1]Wei Liu, Jian Zhang, Hui Wang, Tuojian Wu, Ying Lou, Xiaowen Ye:
Modified AC/DC Unified Power Flow and Energy-Saving Evaluation for Urban Rail Power Supply System With Energy Feedback Systems. IEEE Trans. Veh. Technol. 70(10): 9898-9909 (2021) - 2020
- [c2]Xiaowen Ye, Yiding Yu, Liqun Fu:
MAC Protocol for Multi-channel Heterogeneous Networks Based on Deep Reinforcement Learning. GLOBECOM 2020: 1-6 - [i1]Xiaowen Ye, Yiding Yu, Liqun Fu:
The optimal network throughputs when the model-aware node coexists with other nodes using different MAC protocols. CoRR abs/2008.11621 (2020)
2010 – 2019
- 2017
- [c1]Xiaowen Ye, Wei Liu, Ying Lou:
Optimal design of inverter feedback device for urban rail traction power supply system. IECON 2017: 3895-3900
Coauthor Index
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