4.7 Article

A Paradigm Shift toward Semantic Communications

期刊

IEEE COMMUNICATIONS MAGAZINE
卷 60, 期 11, 页码 113-119

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MCOM.001.2200099

关键词

-

资金

  1. National Natural Science Foundation of China [92067202, 62071058, 62001049, 61971062]
  2. Beijing Natural Science Foundation [4222012]
  3. Major Key Project of PCL [PCL2021A15]

向作者/读者索取更多资源

This article discusses the transition of communication systems from traditional techniques to semantic communications, aiming to enhance system capabilities. The shift involves key techniques such as source coding and channel coding, and changes the design philosophy of communication systems from complexity to intelligence and simplicity. This paradigm shift holds promises in reducing data transmission requirements while providing the same quality of service.
The last 70 years have witnessed the transition of communication from Shannon's theoretical concept to current high-efficiency practical systems. Classical communication systems address the capability-deficiency issue mainly by module stacking and technique densification with ever increasing complexity. From such a traditional viewpoint, classical source coding only utilizes explicit probabilistic models to compress data, regardless of the meaning of transmitted source messages. Also, channel coded transmission does not identify the source content. In this sense, state-of-the-art communication systems work merely at the technical level, as summarized by Weaver. Unlike the traditional system design philosophy, this article proposes a new route to boost the system capabilities toward intelligence-endogenous and primitive-concise communications. The communication paradigm upgrades to the semantic level, which is radically different since all the key techniques imply the use of meanings of transmitted data, thus deeply changing the design philosophy of the communication system. This paradigm shift unveils a promising direction due to its ability to offer an identical quality of service with much lower data transmission requirements. Different from similar works, this article constitutes a brief tutorial on the framework of semantic communications, its gain analyzed from the information theory perspective, a method to calculate the semantic compression bound, and an exemplary use case of semantic communications.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据