Xiaowen Ye

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 12

Top Topics

Reinforcement Learning

Underwater Acoustic

Top Venues

IEEE Trans. Mob. Comput.

IEEE Trans. Veh. Technol.

IEEE Trans. Wirel. Commun.

Publications

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) (2024)
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) (2024)
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) (2024)
Jiajie Huang, Xiaowen Ye, Liqun Fu
MAC Protocol for Underwater Acoustic Multi-Cluster Networks Based on Multi-Agent Reinforcement Learning. WUWNet (2023)
Xiaowen Ye, Yiding Yu, Liqun Fu
Deep Reinforcement Learning Based Link Adaptation Technique for LTE/NR Systems. IEEE Trans. Veh. Technol. 72 (6) (2023)
Xiaowen Ye, Yiding Yu, Liqun Fu
Multi-Channel Opportunistic Access for Heterogeneous Networks Based on Deep Reinforcement Learning. IEEE Trans. Wirel. Commun. 21 (2) (2022)
Qian Zhou, Xiaowen Ye, Liqun Fu
Deep Reinforcement Learning Based Scheduling Scheme for the NR-U/WiGig Coexistence in Unlicensed mmWave Bands. ICC (2022)
Xiaowen Ye, Yiding Yu, Liqun Fu
Deep Reinforcement Learning Based MAC Protocol for Underwater Acoustic Networks. IEEE Trans. Mob. Comput. 21 (5) (2022)
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) (2021)
Xiaowen Ye, Yiding Yu, Liqun Fu
The optimal network throughputs when the model-aware node coexists with other nodes using different MAC protocols. CoRR (2020)
Xiaowen Ye, Yiding Yu, Liqun Fu
MAC Protocol for Multi-channel Heterogeneous Networks Based on Deep Reinforcement Learning. GLOBECOM (2020)
Xiaowen Ye, Wei Liu, Ying Lou
Optimal design of inverter feedback device for urban rail traction power supply system. IECON (2017)