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Fundamental Limitation of Semantic Communications:Neural Estimation for Rate-Distortion

Dongxu Li Jianhao Huang Chuan Huang Xiaoqi Qin Han Zhang Ping Zhang

Journal of Communications and Information Networks2023，Vol.8Issue(4)：P.303-318,16.

Fundamental Limitation of Semantic Communications:Neural Estimation for Rate-Distortion

Dongxu Li ¹Jianhao Huang ²Chuan Huang ¹Xiaoqi Qin ³Han Zhang ³Ping Zhang³

作者信息

1. School of Science and Engineering and the Fu-ture Network of Inelligence Institute,the Chinese University of Hong Kong,Shenzhen 518172,China
2. Department of Electrical and Electronic Engineering,the University of Hong Kong,Hong Kong 999077,China
3. School of Information and Communication Engineering and the State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China
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摘要

关键词

Semantic communications/semantic ratedistortion/generative network/Blahut-Arimoto algorithm

分类

信息技术与安全科学

引用本文复制引用

Dongxu Li,Jianhao Huang,Chuan Huang,Xiaoqi Qin,Han Zhang,Ping Zhang..Fundamental Limitation of Semantic Communications:Neural Estimation for Rate-Distortion[J].Journal of Communications and Information Networks,2023,8(4):P.303-318,16.

基金项目

supported in part by the Natural Science Foundation of China under Grants 62022070,62341112,62293480,and 62293481,in part by Shenzhen high-tech zone project under Grant KC2022KCCX0041,in part by the key project of Shenzhen under Grant JCYJ20220818103006013,in part by the Shenzhen Outstanding Talents Training Fund 202002,in part by the Guangdong Provincial Key Laboratory of Future Networks of Intelligence under Grant 2022B1212010001,and in part by the Shenzhen Key Laboratory of Big Data and Artificial Intelligence under Grant ZDSYS201707251409055. （）

Journal of Communications and Information Networks

OACSCDEI

ISSN：2096-1081

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