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Ying-Chang Liang

Deep Reinforcement Learning for Distributed Dynamic Coordinated Beamforming in Massive MIMO Cellular Networks

Mar 24, 2023
Jungang Ge, Ying-Chang Liang, Liao Zhang, Ruizhe Long, Sumei Sun

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Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence

Feb 03, 2022
Peng Wei, Kun Guo, Ye Li, Jue Wang, Wei Feng, Shi Jin, Ning Ge, Ying-Chang Liang

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* 33 pages, 5 figures, 11 tables

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Recent Advances on Sub-Nyquist Sampling-Based Wideband Spectrum Sensing

May 07, 2021
Jun Fang, Bin Wang, Hongbin Li, Ying-Chang Liang

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* This paper has been accepted by IEEE Wireless Communications Magazine for future publication

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Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach

May 16, 2019
Jiawen Kang, Zehui Xiong, Dusit Niyato, Han Yu, Ying-Chang Liang, Dong In Kim

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* submitted to the conference for potential publication

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Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

Oct 18, 2018
Nguyen Cong Luong, Dinh Thai Hoang, Shimin Gong, Dusit Niyato, Ping Wang, Ying-Chang Liang, Dong In Kim

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* 37 pages, 13 figures, 6 tables, 174 reference papers

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