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SemantIC: Semantic Interference Cancellation Toward 6G Wireless Communications

  • Wensheng Lin
  • , Yuna Yan
  • , Lixin Li
  • , Zhu Han
  • , Tad Matsumoto
  • Northwestern Polytechnical University Xian
  • University of Houston
  • Kyung Hee University
  • Imt Atlantique Bretagne Pays de la Loire
  • Japan Advanced Institute of Science and Technology
  • University of Oulu

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

This letter proposes a novel anti-interference technique, semantic interference cancellation (SemantIC), for enhancing information quality towards the sixth-generation (6G) wireless networks. SemantIC only requires the receiver to concatenate the channel decoder with a semantic auto-encoder. This constructs a turbo loop which iteratively and alternately eliminates noise in the signal domain and the semantic domain. From the viewpoint of network information theory, the neural network of the semantic auto-encoder stores side information by training, and provides side information in iterative decoding, as an implementation of the Wyner-Ziv theorem. Simulation results verify the performance improvement by SemantIC without extra channel resource cost.

Original languageEnglish
Pages (from-to)1810-1814
Number of pages5
JournalIEEE Communications Letters
Volume28
Issue number8
DOIs
StatePublished - 2024

Keywords

  • Semantic interference cancellation
  • Wyner-Ziv theorem
  • anti-interference
  • side information
  • turbo principle

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