Electronics and Telecommunications Trends (전자통신동향분석)

Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Trend of Semantic Communication

시맨틱 통신 연구 동향

  • D.S., Kwon ;
  • J.H., Na
  • 권동승 (지능형스몰셀연구실 ) ;
  • 나지현 (지능형스몰셀연구실)
  • Published : 2022.12.01
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Abstract

Shannon and Weaver's semantic communication has been actively studied in recent years as a new communication method to provide intelligent mobile services without requiring more capacity, infrastructure, and energy, even with limited radio resources. Considered a breakthrough beyond the Shannon paradigm, semantic communication aims at successfully transmitting semantic information conveyed by a source rather than accurately receiving each symbol or bit, regardless of meaning. Thus, semantic communication can lead to knowledgeable systems that significantly reduce data traffic because the transmitter only transmits the necessary information related to a specific task. This study describes essential differences between existing and semantic communication, research trends related to semantic communication principles and theory, performance metrics of semantic communication, semantic communication system framework, and future research and development issues.

Keywords

Acknowledgement

이 논문은 2022년도 정부(과학기술정보통신부)의 재원으로 정보통신기획평가원의 지원을 받아 수행된 연구임[No. 2018-0-01659, 5G NR 기반 지능형 오픈 스몰셀 기술 개발].

References

  1. C.E. Shannon, "A mathematical theory of communication," The Bell Syst. Tech. J., vol. 27, no. 3, 1948, pp. 379-423.  https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
  2. E.C. Strinati et al., "6G: The next frontier: From holographic messaging to artificial intelligence using Subterahertz and visible light communication," IEEE Veh. Technol. Mag., vol. 14, no. 3, 2019, pp. 42-50.  https://doi.org/10.1109/MVT.2019.2921162
  3. W. Weaver, "Recent contributions to the mathematical theory of communication," ETC: A Rev. General Semant., 1953, pp. 261-281. 
  4. C.E. Shannon and W. Weaver, The Mathematical Theory of Communication, The University of Illinois Press, Champaign, IL, USA, 1949. 
  5. Z. Qin et al., "Semantic communications: Principles and challenges," arXiv preprint, CoRR, 2022, arXiv: 2201.01389v2 [cs.IT]. 
  6. N. Farsad et al., "Deep learning for joint source-channel coding of text," in Proc. IEEE Int. Conf. Acoustics Speech Signal Process (ICASSP), (Calgary, Canada), Apr. 2018, pp. 2326-2330. 
  7. E. Bourtsoulatze et al., "Deep joint source-channel coding for wireless image transmission," IEEE Trans. Cogn. Commun. Netw., vol. 5, no. 3, 2019, pp. 567-579.  https://doi.org/10.1109/TCCN.2019.2919300
  8. R. Carnap et al., "An outline of a theory of semantic information," RLE Technical Reports 247, Research Laboratory of Electronics, MIT, Cambridge, MA, USA, Tech. Rep., Oct. 1952. 
  9. J . Bao et al., "Towards a theory o f semantic communication," in Proc. IEEE Netw. Sci. Workshop, (West Point, NY, USA), June 2011, pp. 110-117. 
  10. M. Sana et al., "Learning semantics: An opportunity for effective 6G communications," arXiv preprint, CoRR, 2021, arXiv: 2110.08049. 
  11. E.C. Strinati et al., "6G networks: Beyond Shannon towards semantic and goal-oriented communications," arXiv preprint, CoRR, 2021, arXiv: 2011.14844v3 [cs.NI]. 
  12. Q. Lan et al., "What is semantic communication? A view on conveying meaning in the era of machine intelligence," arXiv preprint, CoRR, 2021, arXiv: 2110.00196.