Variational Neural Inference Enhanced Text Semantic Communication System

作     者：Zhang Xi Zhang Yiqian Li Congduan Ma Xiao Zhang Xi;Zhang Yiqian;Li Congduan;Ma Xiao

作者机构：School of Electronics and Communication EngineeringSun Yat-Sen UniversityShenzhen 518107China Guizhou University State Key Laboratory of Public Big DataGuiyang 550025China Shenzhen Key Laboratory of Navigation and Communication IntegrationShenzhen 518107China School of Computer Science and EngineeringSun Yat-Sen UniversityGuangzhou 510006China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2024年第21卷第7期

页      面：50-64页

核心收录：

学科分类：0810[工学-信息与通信工程] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 081001[工学-通信与信息系统] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported in part by the National Science Foundation of China(NSFC)with grant no.62271514 in part by the Science,Technology and Innovation Commission of Shenzhen Municipality with grant no.JCYJ20210324120002007 and ZDSYS20210623091807023 in part by the State Key Laboratory of Public Big Data with grant no.PBD2023-01 

主　　题：deep learning semantic communication variational neural inference 

摘      要：Recently,deep learning-based semantic communication has garnered widespread attention,with numerous systems designed for transmitting diverse data sources,including text,image,and speech,*** efforts have been directed toward improving system performance,many studies have concentrated on enhancing the structure of the encoder and ***,this often overlooks the resulting increase in model complexity,imposing additional storage and computational burdens on smart ***,existing work tends to prioritize explicit semantics,neglecting the potential of implicit *** paper aims to easily and effectively enhance the receiver s decoding capability without modifying the encoder and decoder *** propose a novel semantic communication system with variational neural inference for text ***,we introduce a simple but effective variational neural inferer at the receiver to infer the latent semantic information within the received *** information is then utilized to assist in the decoding *** simulation results show a significant enhancement in system performance and improved robustness.