Yiding Yu

According to our database, Yiding Yu authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Deep Reinforcement Learning Based Link Adaptation Technique for LTE/NR Systems.

Xiaowen Ye, Yiding Yu, Liqun Fu

IEEE Trans. Veh. Technol., June, 2023

2022

Multi-Channel Opportunistic Access for Heterogeneous Networks Based on Deep Reinforcement Learning.

Xiaowen Ye, Yiding Yu, Liqun Fu

IEEE Trans. Wirel. Commun., 2022

Multi-Agent Deep Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks With Imperfect Channels.

Yiding Yu, Soung Chang Liew, Taotao Wang

IEEE Trans. Mob. Comput., 2022

Deep Reinforcement Learning Based MAC Protocol for Underwater Acoustic Networks.

Xiaowen Ye, Yiding Yu, Liqun Fu

IEEE Trans. Mob. Comput., 2022

2021

Non-Uniform Time-Step Deep Q-Network for Carrier-Sense Multiple Access in Heterogeneous Wireless Networks.

Yiding Yu, Soung Chang Liew, Taotao Wang

IEEE Trans. Mob. Comput., 2021

Algorithms for Interference Minimization in Future Wireless Network Decomposition.

Péter L. Erdös, Tamás Róbert Mezei, Yiding Yu, Xiang Chen, Wei Han, Bo Bai

CoRR, 2021

2020

The optimal network throughputs when the model-aware node coexists with other nodes using different MAC protocols.

Xiaowen Ye, Yiding Yu, Liqun Fu

CoRR, 2020

MAC Protocol for Multi-channel Heterogeneous Networks Based on Deep Reinforcement Learning.

Xiaowen Ye, Yiding Yu, Liqun Fu

Proceedings of the IEEE Global Communications Conference, 2020

2019

Deep-Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks.

Yiding Yu, Taotao Wang, Soung Chang Liew

IEEE J. Sel. Areas Commun., 2019

Carrier-Sense Multiple Access for Heterogeneous Wireless Networks Using Deep Reinforcement Learning.

Yiding Yu, Soung Chang Liew, Taotao Wang

Proceedings of the 2019 IEEE Wireless Communications and Networking Conference Workshop, 2019