SemantIC: Semantic Interference Cancellation Towards 6G Wireless
  Communications
Wensheng Lin Yuna Yan Lixin Li Zhu Han Tad Matsumoto
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.