What Is Semantic Communication?A View on Conveying Meaning in the Era of Machine Intelligence

查看全文 作　　者：Qiao [1]Lan;Dingzhu [1]Wen;Zezhong [1]Zhang;Qunsong [1]Zeng;Xu [1]Chen;Petar [2]Popovski;Kaibin [1]Huang

机构地区：[1]Department of Electrical and Electronic Engineering,The University of Hong Kong,Hong Kong 999007,China;[2]Department of Electronic Systems,Aalborg University,Aalborg,Denmark

出　　处：《Journal of Communications and Information Networks》索引2021年第6卷第4期,共36页

基　　金：a fellowship award from the Research Grants Council of Hong Kong Special Administrative Region,China(HKU RFS21227S04);Guangdong Basic and Applied Basic Research Foundation(2019B1515130003);Hong Kong Research Grants Council(17208319);Hong Kong Research Grants Council(17209917);the Innovation and Technology Fund(GHP/016/18GD);Shenzhen Science and Technology Program(JCYJ20200109141414409)。 摘　　要：In the 1940s,Claude Shannon developed the information theory focusing on quantifying the maximum data rate that can be supported by a communication channel.Guided by this fundamental work,the main theme of wireless system design up until the fifth generation(5G)was the data rate maximization.In Shannon’s theory,the semantic aspect and meaning of messages were treated as largely irrelevant to communication.The classic theory started to reveal its limitations in the modern era of machine intelligence,consisting of the synergy between Internet-of-things(IoT)and artificial intelligence(AI).By broadening the scope of the classic communication-theoretic framework,in this article,we present a view of semantic communication(SemCom)and conveying meaning through the communication systems.We address three communication modalities:human-to-human(H2H),human-to-machine(H2M),and machine-to-machine(M2M)communications.The latter two represent the paradigm shift in communication and computing,and define the main theme of this article.H2M SemCom refers to semantic techniques for conveying meanings understandable not only by humans but also by machines so that they can have interaction and“dialogue”.On the other hand,M2M SemCom refers to effective techniques for efficiently connecting multiple machines such that they can effectively execute a specific computation task in a wireless network.The first part of this article focuses on introducing the SemCom principles including encoding,layered system architecture,and two design approaches:1)layer-coupling design;and 2)end-to-end design using a neural network.The second part focuses on the discussion of specific techniques for different application areas of H2M SemCom[including human and AI symbiosis,recommendation,human sensing and care,and virtual reality(VR)/augmented reality(AR)]and M2M SemCom(including distributed learning,split inference,distributed consensus,and machine-vision cameras).Finally,we discuss the approach for designing SemCom systems based on knowledge graphs.We believe that this comprehensive introduction will provide a useful guide into the emerging area of SemCom that is expected to play an important role in sixth generation(6G)featuring connected intelligence and integrated sensing,computing,communication,and control. 关键词：semantic communication artificial intelligence Internet-of-things

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What Is Semantic Communication?A View on Conveying Meaning in the Era of Machine Intelligence

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