A survey on semantic communications: Technologies, solutions, applications and challenges

Document Type

Article

Publication Date

6-1-2024

Abstract

Semantic Communication (SC) has emerged as a novel communication paradigm that provides a receiver with meaningful information extracted from the source to maximize information transmission throughput in wireless networks, beyond the theoretical capacity limit. Despite the extensive research on SC, there is a lack of comprehensive survey on technologies, solutions, applications, and challenges for SC. In this article, the development of SC is first reviewed and its characteristics, architecture, and advantages are summarized. Next, key technologies such as semantic extraction, semantic encoding, and semantic segmentation are discussed and their corresponding solutions in terms of efficiency, robustness, adaptability, and reliability are summarized. Applications of SC to UAV communication, remote image sensing and fusion, intelligent transportation, and healthcare are also presented and their strategies are summarized. Finally, some challenges and future research directions are presented to provide guidance for further research of SC.

Identifier

85194754041 (Scopus)

Publication Title

Digital Communications and Networks

External Full Text Location

https://doi.org/10.1016/j.dcan.2023.05.010

e-ISSN

23528648

ISSN

24685925

First Page

528

Last Page

545

Issue

3

Volume

10

Grant

cx2021053

Fund Ref

National Natural Science Foundation of China

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