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SemantIC: Semantic Interference Cancellation Towards 6G Wireless Communications

Authors :
Lin, Wensheng
Yan, Yuna
Li, Lixin
Han, Zhu
Matsumoto, Tad
Publication Year :
2023

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.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2310.12768
Document Type :
Working Paper
Full Text :
https://doi.org/10.1109/LCOMM.2024.3412973