SemantIC: Semantic Interference Cancellation Toward 6G Wireless Communications

被引:0
|
作者
Lin, Wensheng [1 ]
Yan, Yuna [1 ]
Li, Lixin [1 ]
Han, Zhu [2 ,3 ]
Matsumoto, Tad [4 ,5 ,6 ]
机构
[1] Northwestern Polytech Univ, Sch Elect & Informat, Xian 710129, Shaanxi, Peoples R China
[2] Univ Houston, Dept Elect & Comp Engn, Houston, TX 77004 USA
[3] Kyung Hee Univ, Dept Comp Sci & Engn, Seoul 446701, South Korea
[4] IMT Atlantique, F-44300 Nantes, France
[5] Japan Adv Inst Sci Technol, Nomi, Ishikawa 9231292, Japan
[6] Univ Oulu, Ctr Wireless Commun, Oulu 90570, Finland
基金
中国国家自然科学基金;
关键词
Semantic interference cancellation; Wyner-Ziv theorem; anti-interference; side information; turbo principle;
D O I
10.1109/LCOMM.2024.3412973
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
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.
引用
收藏
页码:1810 / 1814
页数:5
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