6G知识体系构建：面向全域全场景的学术知识挖掘及其按需应用

doi:10.11959/j.issn.1000-436x.2023181

Abstract

Abstract:

At present, the concepts related to 6G have not been unified, and there is an urgent need for consistent cognition and definition.Academics and industries lack a clear understanding of the overall development of 6G and the research progress in related fields.Therefore, the 6G knowledge base and knowledge system was constructed.Firstly, the existing 6G academic documents were automatically screened and stored in a structured way.Secondly, a 6G knowledge base was constructed on the basis of labeling and standardizing text data.In addition, a comprehensive statistical analysis was conducted across all domains of 6G based on the knowledge base and the technologies such as natural language processing, deep neural network and latent tree model were used to realize the extraction and generation of 6G knowledge.Finally, on the basis of large-scale model training, the on-demand knowledge application was realized for diversified service requirements.

Key words: 6G, knowledge base, knowledge system, knowledge tree, on-demand service

CLC Number:

TN929.5

Zifan SHA, Nan CHENG, Yilong HUI, Wenwei YUE, Yuchuan FU, Ruijin SUN. 6G knowledge system construction: academic knowledge mining and on-demand application for full domains and omni scenarios[J]. Journal on Communications, 2023, 44(9): 173-187.

Figures/Tables 13

References 51

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对比项	4G	5G	6G
萌芽期	2003—2006年	2010—2012年	2018—2019年
发展期	2007—2012年	2013—2018年	2020—2026年（预计）
成熟期	2013年以后	2019年以后	2027年以后
发展周期/年	8	7	8
峰值年	2015年	2020年	2028年（预计）
峰值文献数量/篇	947	7 945	17 500（预计）
我国商用开始时间	2013年12月	2019年11月	2028年（预计）

参数项	参数值
样本总数/条	2 022 120
训练集样本数:验证集样本数	4:1
批次大小/条	128
序列长度	100
特征个数	148
隐层节点数	512
批次个数	8
迭代周期	30
LSTM层数	2
学习率	0.01
优化器	Adam
损失函数	交叉熵

6G knowledge system construction: academic knowledge mining and on-demand application for full domains and omni scenarios

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