A Generalized Semantic Communication System: From Sources to Channels

被引：17
|
作者：
Qin, Zhijin [1 ]
Gao, Feifei [1 ]
Lin, Bo [1 ]
Tao, Xiaoming [1 ]
Liu, Guangyi [2 ]
Pan, Chengkang [2 ]
机构：
[1] Tsinghua Univ Beijing, Beijing, Peoples R China
[2] China Mobile Res Inst, Beijing, Peoples R China
来源：
IEEE WIRELESS COMMUNICATIONS | 2023年 / 30卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Wireless communication; Deep learning; Semantics;
D O I：
10.1109/MWC.013.2200553
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Semantic communication is regarded as the breakthrough beyond the Shannon paradigm, which transmits the semantic information only to improve the communication efficiency significantly. This article first introduces a framework for the generalized semantic communication system, which exploits the semantic information in both the multimodal source and the wireless channel environment. Subsequently, the deep learning enabled end-to-end semantic communications and the environment semantics aided wireless communications are demonstrated through two user cases. The article is concluded with several research challenges to boost the development of such a generalized semantic communication system.
引用
收藏
页码：18 / 26
页数：9
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