SemantIC: Semantic Interference Cancellation Towards 6G Wireless Communications
This addresses interference issues for 6G wireless communication systems, representing an incremental advance in anti-interference methods.
The paper tackles interference in 6G wireless networks by proposing SemantIC, a technique that uses a semantic auto-encoder with a turbo loop to cancel interference iteratively, achieving performance improvements without extra channel resources as verified by simulations.
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.