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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

科研成果: 期刊稿件文章同行评审

13 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)1810-1814
页数5
期刊IEEE Communications Letters
28
8
DOI
出版状态已出版 - 2024

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