%0 Journal Article
%A 戴金晟
%A 牛凯
%A 王思贤
%A 许文俊
%A 姚圣时
%A 张平
%T Semantic information processing in industrial networks
%D 2022
%R 10.19682/j.cnki.1005-8885.2022.2005
%J 中国邮电高校学报（英文）
%P 41-49
%V 29
%N 1
%X The industrial Internet of things (industrial IoT, IIoT) aims at connecting everything, which poses severe
challenges to existing wireless communication. To handle the demand for massive access in future industrial
networks, semantic information processing is integrated into communication systems so as to improve the
effectiveness and efficiency of data transmission. The semantic paradigm is particularly suitable for the purpose-oriented information exchanging scheme in industrial networks. To illustrate its applicability, typical industrial data
are investigated, i. e. , time series and images. Simulation results demonstrate the superiority of semantic
information processing, which achieves a better rate-utility tradeoff than conventional signal processing.
%U https://jcupt.bupt.edu.cn/CN/10.19682/j.cnki.1005-8885.2022.2005