摘要
6G移动通信的高可靠、高频谱效率传输需求对于经典信息论指导下的传统通信技术构成了挑战,提取信源语义特征进行编码传输的语义通信技术,为6G移动通信提供了新型解决方案。首先简述了语义信息论基本观点,探讨了语义信息的度量——语义熵,然后提出了语义通信的系统框架,针对文本与图像信源,分别设计了语义编码方案,并与传统编码方案进行对比分析。语义通信方案能够显著提高传输可靠性与链路频谱效率,在未来6G数据传输中有重要的应用前景。
The transmission requirements with high reliability and high spectrum efficiency in 6G mobile communications pose a challenge to the conventional communication technologies guided by classic information theory. Semantic communications provide a new solution for 6G mobile communications via extracting the semantic features of the information source and encoding and transmitting them. Firstly, this paper briefly describes the fundamental viewpoints of semantic information theory, discusses the measurement of semantic information--sematic entropy, and then proposes the systematic framework of semantic communication. Semantic coding schemes are designed for the text and graph sources, respectively and compared with the conventional coding schemes. Semantic communication schemes can significantly improve the transmission reliability and link spectrum efficiency, which has important application prospects in future 6G data transmission.
作者
牛凯
戴金晟
张平
姚圣时
王思贤
NIU Kai;DAI Jincheng;ZHANG Ping;YAO Shengshi;WANG Sixian(The Key Laboratory of Universal Wireless Communications,Ministry of Education,Beijing University of Posts and Telecommunications(BUPT),Beijing 100876,China;The Peng Cheng Laboratory,Shenzhen 518000,China;The State Key Laboratory of Networking and Switching Technology,Beying University of Posts and Telecommunications,Beijing 100876,China)
出处
《移动通信》
2021年第4期85-90,共6页
Mobile Communications
基金
科技部“战略性国际科技创新合作”重点专项项目(2018YFE0205501)
国家自然科学基金(92067202,62071058)。
关键词
语义信息
语义熵
广义信息熵
语义通信
语义编码
semantic information
semantic entropy
generalized information entropy
semantic communication
sematic coding
