Journal of Terahertz Science and Electronic Information Technology , Volume. 22, Issue 7, 792(2024)

Resource management algorithm for network slicing based on deep reinforcement learning

WANG Feifei1...2,*, WANG Lan1, ZHENG Sihui3, and CHEN Xiang24 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    References(9)

    [1] [1] International Telecommunication Union. IMT Vision-Framework and overall objectives of the future development of IMT for 2020 and beyond:ITU-R M. 2083-0[S]. Geneva,Switzerland:ITU, 2015.

    [2] [2] FOUKAS X, PATOUNAS G, ELMOKASHFI A, et al. Network slicing in 5G:survey and challenges[J]. IEEE Communications Magazine, 2017,55(5):94-100. doi:10.1109/MCOM.2017.1600951.

    [5] [5] MARQUEZ C, GRAMAGLIA M, FIORE M, et al. How should I slice my network? A multi-service empirical evaluation of resource sharing efficiency[C]// Proceedings of the 24th Annual International Conference on Mobile Computing and Networking.New Delhi,India:Association for Computing Machinery, 2018:191-206. doi:10.1145/3241539.3241567.

    [6] [6] VO P L, NGUYEN M N H, LE T A, et al. Slicing the edge: resource allocation for RAN network slicing[J]. IEEE Wireless Communications Letters, 2018,7(6):970-973. doi:10.1109/LWC.2018.2842189.

    [7] [7] SUN Yao,FENG Gang,ZHANG Lei,et al. User access control and bandwidth allocation for slice-based 5G-and-Beyond Radio access networks[C]// 2019 IEEE International Conference on Communications(ICC). Shanghai, China: IEEE, 2019: 1-6. doi:10.1109/ICC.2019.8761841.

    [8] [8] LI Rongpeng,ZHAO Zhifeng,SUN Qi, et al. Deep reinforcement learning for resource management in network slicing[J]. IEEE Access, 2018(6):74429-74441. doi:10.1109/ACCESS.2018.2881964.

    [9] [9] QI Chen,HUA Yuxiu,LI Rongpeng,et al. Deep reinforcement learning with discrete normalized advantage functions for resource management in network slicing[J]. IEEE Communications Letters, 2019,23(8):1337-1341. doi:10.1109/LCOMM.2019.2922961.

    [10] [10] HUA Yuxiu,LI Rongpeng,ZHAO Zhifeng,et al. GAN-based deep distributional reinforcement learning for resource management in network slicing[C]// 2019 IEEE Global Communications Conference(GLOBECOM). Waikoloa,HI,USA:IEEE, 2019:1-6. doi:10.1109/GLOBECOM38437.2019.9014217.

    [11] [11] LI Rongpeng,WANG Chujie,ZHAO Zhifeng,et al. The LSTM-based advantage actor-critic learning for resource management in network slicing with user mobility[J]. IEEE Communications Letters, 2020, 24(9): 2005-2009. doi: 10.1109/LCOMM. 2020.3001227.

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    WANG Feifei, WANG Lan, ZHENG Sihui, CHEN Xiang. Resource management algorithm for network slicing based on deep reinforcement learning[J]. Journal of Terahertz Science and Electronic Information Technology , 2024, 22(7): 792

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    Paper Information

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    Received: Aug. 22, 2022

    Accepted: --

    Published Online: Aug. 22, 2024

    The Author Email: Feifei WANG (wffarn@163.com)

    DOI:10.11805/tkyda2022154

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