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Multi-Agent Deep Reinforcement Learning-Based Power Control and Resource Allocation for D2D Communications.

H. Xiang, Y. Yang, G. He, J. Huang, and D. He. IEEE Wirel. Commun. Lett., 11 (8): 1659-1663 (2022)

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Jingfei Guo

Jingfei Yang

Josef Huang

Pa Huang

Yuejun Huang

Other publications of authors with the same name

Correction to: FastMM: an efficient toolbox for personalized constraint-based metabolic modeling.G. Li, S. Dai, F. Han, W. Li, J. Huang, and W. Xiao. BMC Bioinform., 21 (1): 409 (December 2020)Deep Reinforcement Learning-Based Power Allocation for Rate-Splitting Multiple Access in 6G LEO Satellite Communication System.J. Huang, Y. Yang, L. Yin, D. He, and Q. Yan. IEEE Wirel. Commun. Lett., 11 (10): 2185-2189 (2022)Dynamic Spectrum Access for D2D-Enabled Internet of Things: A Deep Reinforcement Learning Approach.J. Huang, Y. Yang, Z. Gao, D. He, and D. Ng. IEEE Internet Things J., 9 (18): 17793-17807 (2022)Deep Reinforcement Learning-Based Dynamic Spectrum Access for D2D Communication Underlay Cellular Networks.J. Huang, Y. Yang, G. He, Y. Xiao, and J. Liu. IEEE Commun. Lett., 25 (8): 2614-2618 (2021)FastMM: an efficient toolbox for personalized constraint-based metabolic modeling.G. Li, S. Dai, F. Han, W. Li, J. Huang, and W. Xiao. BMC Bioinform., 21 (1): 67 (2020)Optimal Spectrum Reuse of V2V Communications for Maximizing Average Throughput in Vehicular Ad Hoc Networks.Y. Yang, H. Xiang, G. He, J. Huang, and Q. Yan. ICCC, page 1178-1182. IEEE, (2021)Hybrid Spectrum Access for V2V Heterogeneous Networks with Deep Reinforcement Learning.J. Huang, J. Peng, H. Xiang, L. Li, and Y. Yang. WCSP, page 1091-1095. IEEE, (2022)Reconstruction and applications of consensus yeast metabolic network based on RNA sequencing.Y. Zhao, Y. Wang, L. Zou, and J. Huang. FEBS open bio, 6 (4): 264--275 (April 2016)DCSaNet: Dilated Convolution and Self-Attention-Based Neural Network for Channel Estimation in IRS-Aided Multi-User Communication System.T. Li, Y. Yang, J. Lee, X. Qin, J. Huang, and G. He. IEEE Wirel. Commun. Lett., 12 (7): 1139-1143 (July 2023)Multi-Agent Deep Reinforcement Learning-Based Power Control and Resource Allocation for D2D Communications.H. Xiang, Y. Yang, G. He, J. Huang, and D. He. IEEE Wirel. Commun. Lett., 11 (8): 1659-1663 (2022)

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Disambiguation of "Huang, Jingfei"

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Multi-Agent Deep Reinforcement Learning-Based Power Control and Resource Allocation for D2D Communications.

Please choose a person to relate this publication to

Jingfei Guo

Jingfei Yang

Josef Huang

Pa Huang

Yuejun Huang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Huang, Jingfei"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multi-Agent Deep Reinforcement Learning-Based Power Control and Resource Allocation for D2D Communications.

Please choose a person to relate this publication to

Jingfei Guo

Jingfei Yang

Josef Huang

Pa Huang

Yuejun Huang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Multi-Agent Deep Reinforcement Learning-Based Power Control and Resource Allocation for D2D Communications.