Resource allocation strategy based on deep reinforcement learning in 6G dense network

Fan YANG; Cheng YANG; Jie HUANG; Shilong ZHANG; Tao YU; Xun ZUO; Chuan YANG

doi:10.11959/j.issn.1000-436x.2023148

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Resource allocation strategy based on deep reinforcement learning in 6G dense network

Correspondences | 更新时间：2024-05-31

- Resource allocation strategy based on deep reinforcement learning in 6G dense network
- Journal on Communications Vol. 44, Issue 8, Pages: 215-227(2023)
- 作者机构：
  
  重庆理工大学电气与电子工程学院，重庆 400054
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62301094);The Natural Science Foundation of Chongqing(cstc2021jcyj-msxmX0251);The Science and Technology Research Program of Chongqing Education Commission of China(KJQN202101115);The Science and Technology Research Program of Chongqing Education Commission of China(KJQN202201157);The Science and Technology Research Program of Chongqing Education Commission of China(KJQN202301135);The Cultivation Plan of National Natural Science Foundation and Social Science Foundation of Chongqing University of Technology(2022PYZ017);Chongqing Banan District Scientific Research Project(KY202208153976019);Cultivation Program of Scientific Research and Innovation Team of Chongqing University of Technology(2023TDZ003);The Funding Result of Graduate Education High-quality Development Action Plan of Chongqing University of Technology(gzlcx20233076)
- DOI：10.11959/j.issn.1000-436x.2023148
  CLC： TN929.5
- Online First：2023-08，
  
  Published：25 August 2023
- 稿件说明：
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Fan YANG, Cheng YANG, Jie HUANG, et al. Resource allocation strategy based on deep reinforcement learning in 6G dense network[J]. Journal on Communications, 2023, 44(8): 215-227.
DOI：

Fan YANG, Cheng YANG, Jie HUANG, et al. Resource allocation strategy based on deep reinforcement learning in 6G dense network[J]. Journal on Communications, 2023, 44(8): 215-227. DOI： 10.11959/j.issn.1000-436x.2023148.

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Resource allocation strategy based on deep reinforcement learning in 6G dense network

DOI：10.11959/j.issn.1000-436x.2023148