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Research

Results for Deep reinforcement learning (DRL)

Publications & Outputs

  1. Deep Reinforcement Learning Based Uplink Security Enhancement for STAR-RIS-Assisted NOMA Systems With Dual Eavesdroppers

    Qin, X., Song, Z., Wang, J., Du, S., Gao, J., Yu, W. & Sun, X., 30/09/2024, In: IEEE Internet of Things Journal. 11, 17, p. 28050-28063 13 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. TOFDS: A Two-Stage Task Execution Method for Fake News in Digital Twin-Empowered Socio-Cyber World

    Peng, K., Zhao, B., Ling, C., Bilal, M., Xu, X. & Rodrigues, J. J. P. C., 31/08/2024, In: IEEE Transactions on Computational Social Systems. 11, 4, p. 5178-5188 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Energy-efficient secure dynamic service migration for edge-based 3-D networks

    Zheng, G., Navaie, K., Ni, Q., Pervaiz, H. & Zarakovitis, C., 1/03/2024, In: Telecommunication Systems. 85, 3, p. 477-490 14 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Service Offloading with Deep Q-Network for Digital Twinning-Empowered Internet of Vehicles in Edge Computing

    Xu, X., Shen, B., Ding, S., Srivastava, G., Bilal, M., Khosravi, M. R., Menon, V. G., Jan, M. A. & Wang, M., 1/02/2022, In: IEEE Transactions on Industrial Informatics. 18, 2, p. 1414-1423 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review