Semantic Communication: A Survey on Research Landscape, Challenges, and Future Directions

被引:0
作者
Getu, Tilahun M. [1 ,2 ,3 ]
Kaddoum, Georges [2 ]
Bennis, Mehdi [4 ]
机构
[1] Natl Inst Stand & Technol NIST, Commun Technol Lab, Gaithersburg, MD 20899 USA
[2] Ecole Technol Super ETS, Elect Engn Dept, Montreal, PQ H3C 1K3, Canada
[3] ETS, Elect Engn Dept, Montreal, PQ H3C 1K3, Canada
[4] Univ Oulu, Ctr Wireless Commun, Oulu 90570, Finland
关键词
Semantics; 6G mobile communication; Wireless communication; Surveys; Encoding; Symbols; NIST; 5G mobile communication; Wireless sensor networks; Semantic communication; Semantic communication (SemCom); semantic information; SemCom challenges and future directions; SemCom research landscape; sixth-generation (6G); 6G WIRELESS SYSTEMS; IMAGE TRANSMISSION; EDGE INTELLIGENCE; MULTIPLE-ACCESS; NEURAL-NETWORKS; INFORMATION; REQUIREMENTS; VISION; OPPORTUNITIES; TECHNOLOGIES;
D O I
10.1109/JPROC.2024.3520707
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Amid the global rollout of fifth-generation (5G) services, researchers in academia, industry, and national laboratories have been developing proposals for the sixth-generation (6G), whose materialization is fraught with many fundamental challenges. To alleviate these challenges, a deep learning (DL)-enabled semantic communication (SemCom) has emerged as a promising 6G technology enabler, which embodies a paradigm shift that can change the status quo viewpoint that wireless connectivity is an opaque data pipe carrying messages whose context-dependent meanings have been ignored. Since 6G is also critical for the materialization of major SemCom use cases, the paradigms of 6G for SemCom and SemCom for 6G call for a tighter integration of 6G and SemCom. For this purpose, this comprehensive article provides the fundamentals of semantic information, semantic representation, and semantic entropy; details the state-of-the-art SemCom research landscape; presents the major SemCom trends and use cases; discusses current SemCom theories; exposes the fundamental and major challenges of SemCom; and offers future research directions for SemCom. We hope this article stimulates many lines of research on SemCom theories, algorithms, and implementation.
引用
收藏
页码:1649 / 1685
页数:37
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