Yiding Yu

IEEE Trans. Veh. Technol., June, 2023

2022

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

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2022

Deep Reinforcement Learning Based MAC Protocol for Underwater Acoustic Networks.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2022

2021

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

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2021

Algorithms for Interference Minimization in Future Wireless Network Decomposition.

[BibT_eX]

[DOI]

CoRR, 2021

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

2019

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

[BibT_eX]

[DOI]

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

2018

Deep-Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks.

[BibT_eX]

[DOI]