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.
@article{arxiv.2310.12768,
title = {SemantIC: Semantic Interference Cancellation Towards 6G Wireless Communications},
author = {Wensheng Lin and Yuna Yan and Lixin Li and Zhu Han and Tad Matsumoto},
journal= {arXiv preprint arXiv:2310.12768},
year = {2024}
}