福建电脑2025，Vol.41Issue(3)：1-7,7.DOI:10.16707/j.cnki.fjpc.2025.03.001
自适应语义通信传输方法在教育专网的应用
Application of Adaptive Semantic Communication Transmission Method in Educational Network
王禹森1
作者信息
- 1. 福建师范大学计算机与网络空间安全学院 福州 350000
- 折叠
摘要
Abstract
In order to meet the demand for network transmission in the smart teaching environment of remote mountainous schools and solve the problems of low network bandwidth,high latency,and low signal-to-noise ratio affecting information transmission,this paper proposes an adaptive semantic communication transmission method.This method is based on deep learning technology,using deep neural networks and combining channel adaptation and bandwidth adaptation strategies.By designing a new semantic communication architecture DeepJSCC-CBA,it achieves efficient transmission of various data types.The experimental results show that this method exhibits stronger adaptability and stability in low signal-to-noise ratio and low bandwidth environments.This study provides new technological support for educational informatization in remote areas.关键词
语义通信/深度学习/深度强化学习/自适应传输Key words
Semantic Communication/Deep Learning/Deep Reinforcement Learning/Adaptive Transmission分类
计算机与自动化引用本文复制引用
王禹森..自适应语义通信传输方法在教育专网的应用[J].福建电脑,2025,41(3):1-7,7.
