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Toward Effective and Interpretable Semantic Communications
2024-11-01
发表期刊IEEE NETWORK (IF:6.8[JCR-2023],8.5[5-Year])
ISSN0890-8044
EISSN1558-156X
卷号38期号:6页码:1-1
发表状态已发表
DOI10.1109/MNET.2024.3421517
摘要With the exponential surge in traffic data and the pressing need for ultra-low latency in emerging intelligence applications, it is envisioned that 6G networks will demand disruptive communication technologies to foster ubiquitous intelligence and succinctness within the human society. Semantic communication, a novel paradigm, holds the promise of significantly curtailing communication overhead and latency by transmitting only task-relevant information. Despite numerous efforts in both theoretical frameworks and practical implementations of semantic communications, a substantial theory-practice gap complicates the theoretical analysis and interpretation, particularly when employing black-box machine learning techniques. This article initially delves into information-theoretic metrics such as semantic entropy, semantic distortions, and semantic communication rate to characterize the information flow in semantic communications. Subsequently, it provides a guideline for implementing semantic communications to ensure both theoretical interpretability and communication effectiveness.
关键词Semantics Task analysis Entropy Distortion Distortion measurement Data mining Feature extraction
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收录类别EI ; SCI
语种英语
资助项目National Natural Science Foundation of China["61901267","62271318","62325108","62341131"] ; Hong Kong Research Grants Council under the Areas of Excellence Scheme[AoE/E-601/22-R] ; Natural Science Foundation of Shanghai[21ZR1442700] ; Guangdong Basic and Applied Basic Research Foundation[2024A1515030028] ; Shanghai Rising-Star Program[22QA1406100]
WOS研究方向Computer Science ; Engineering ; Telecommunications
WOS类目Computer Science, Hardware & Architecture ; Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号WOS:001360457500007
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
来源库IEEE
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文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/398598
专题信息科学与技术学院_PI研究组_吴幼龙组
作者单位
1.ShanghaiTech University, China
2.Peng Cheng Laboratory, China
3.Tsinghua University, China
4.The University of New South Wales, Australia
5.The Hong Kong University of Science and Technology, China
第一作者单位上海科技大学
第一作者的第一单位上海科技大学
推荐引用方式
GB/T 7714
Youlong Wu,Yuanmin Shi,Shuai Ma,et al. Toward Effective and Interpretable Semantic Communications[J]. IEEE NETWORK,2024,38(6):1-1.
APA Youlong Wu,Yuanmin Shi,Shuai Ma,Chunxiao Jiang,Wei Zhang,&Khaled B. Letaief.(2024).Toward Effective and Interpretable Semantic Communications.IEEE NETWORK,38(6),1-1.
MLA Youlong Wu,et al."Toward Effective and Interpretable Semantic Communications".IEEE NETWORK 38.6(2024):1-1.
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