Publications

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Deep Reinforcement Learning for IRS-assisted Secure NOMA Transmissions Against Eavesdroppers

Published in 2024 International Wireless Communications and Mobile Computing (IWCMC), 2024

The contents above will be part of a list of publications, if the user clicks the link for the publication than the contents of section will be rendered as a full page, allowing you to provide more information about the paper for the reader. When publications are displayed as a single page, the contents of the above “citation” field will automatically be included below this section in a smaller font.

Recommended citation: D. Zhou, S. Gong, L. Li, B. Gu and M. Guizani, "Deep Reinforcement Learning for IRS-assisted Secure NOMA Transmissions Against Eavesdroppers," 2024 International Wireless Communications and Mobile Computing (IWCMC), Ayia Napa, Cyprus, 2024, pp. 1236-1241, doi: 10.1109/IWCMC61514.2024.10592541. keywords: {NOMA;Array signal processing;Simulation;Noise;Information leakage;Deep reinforcement learning;Scheduling;Secure transmission;IRS-assisted wireless network;NOMA;deep reinforcement learning},
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Deep Reinforcement Learning for IRS-assisted Secure NOMA Transmissions Against Eavesdroppers

Published in Neurocomputing, 2024

The contents above will be part of a list of publications, if the user clicks the link for the publication than the contents of section will be rendered as a full page, allowing you to provide more information about the paper for the reader. When publications are displayed as a single page, the contents of the above “citation” field will automatically be included below this section in a smaller font.

Recommended citation: Jiehui Huang, Zhenchao Tang, Xuedong He, Jun Zhou, Defeng Zhou, Calvin Yu-Chian Chen, Progressive network based on detail scaling and texture extraction: A more general framework for image deraining,Neurocomputing, Volume 568, 2024, 127066, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2023.127066.
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