Journal of Terahertz Science and Electronic Information Technology , Volume. 23, Issue 5, 476(2025)

Omni-directional power service access routing based on terminal access networks

WANG Zhongyu1, LU Zhixin1, LYU Guoyuan1, LIU Yizhao1, LI Shuangbing2, YUE Shunmin2, and HAN Yuyang3
Author Affiliations
  • 1Information & Telecommunication Company, State Grid Tianjin Electric Power Company, Tianjin 300140, China
  • 2State Grid Tianjin Electric Power Company, Tianjin 300010, China
  • 3Key Laboratory of Smart Grid(Ministry of Education), Tianjin University, Tianjin 300072, China
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    References(3)

    [5] [5] LIN S C, AKYILDIZ I F, WANG P, et al. QoS-aware adaptive routing in multi-layer hierarchical software defined networks: a reinforcement learning approach[C]//2016 IEEE International Conference on Services Computing(SCC). San Francisco, CA, USA: IEEE, 2016: 25-33. DOI: 10.1109/SCC.2016.12.

    [6] [6] LIU Waixi, CAI Jun, CHEN Qinchun, et al. DRL-R: deep reinforcement learning approach for intelligent routing in software-defined data-center networks[J]. Journal of Network and Computer Applications, 2021(177): 102865.

    [10] [10] YU C, VELU A, VINITSKY E, et al. The surprising effectiveness of PPO in cooperative multi-agent games[J]. Advances in Neural Information Processing Systems, 2022(35): 24611-24624.

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    WANG Zhongyu, LU Zhixin, LYU Guoyuan, LIU Yizhao, LI Shuangbing, YUE Shunmin, HAN Yuyang. Omni-directional power service access routing based on terminal access networks[J]. Journal of Terahertz Science and Electronic Information Technology , 2025, 23(5): 476

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    Paper Information

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    Received: May. 29, 2024

    Accepted: Jun. 5, 2025

    Published Online: Jun. 5, 2025

    The Author Email:

    DOI:10.11805/tkyda2024247

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