Resource allocation strategy for ultra-dense Internet of things based on graph convolutional neural network

Resource allocation strategy for ultra-dense Internet of things based on graph convolutional neural network

To address the significant issue of hidden terminal interference that severely impacted resource management in ultra-dense Internet of things (UD-IoT) environments, a deep deterministic gradient-based conflict-free resource allocation strategy using graph convolution neural network was proposed. The...

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Bibliographic Details
Main Authors: HUANG Jie, LI Xingxing, YANG Fan, DING Ruijie, CAI Jieliang, YAO Fenghang, ZHANG Xin
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2024-10-01
Series:Tongxin xuebao
Subjects:
ultra-dense Internet of things
resource allocation
deep reinforcement learning
graph convolutional neural network
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024178/

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http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024178/

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