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

作　　者：王禹森 WANG Yusen(School of Computer and Cyberspace Security,Fujian Normal University,Fuzhou,China,350000)

机构地区：[1]福建师范大学计算机与网络空间安全学院,福州350000

出　　处：《福建电脑》2025年第3期1-7,共7页Journal of Fujian Computer

摘　　要：为了满足偏远山区学校智慧教学环境对网络传输的需求,解决网络带宽低、延时大、信噪比低对信息传输影响的问题,本文提出了一种自适应语义通信传输方法。该方法基于深度学习技术,采用深度神经网络,结合信道自适应和带宽自适应策略,通过设计一种新的语义通信体系结构DeepJSCC-CBA来实现对各种数据类型的高效传输。实验结果表明,该方法在低信噪比和低带宽环境下展现出更强的适应性和稳定性。这一研究为偏远地区的教育信息化提供了新的技术支持。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 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TN911[自动化与计算机技术—计算机科学与技术]