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.

翻译：本文提出一种新型抗干扰技术——语义干扰消除（SemantIC），旨在提升面向第六代（6G）无线网络的信息质量。SemantIC仅需接收端将信道解码器与语义自编码器级联，构建一种涡轮迭代环路，通过交替迭代消除信号域与语义域的噪声。从网络信息论视角分析，语义自编码器的神经网络通过训练存储边信息，并在迭代解码过程中提供边信息，从而实现Wyner-Ziv定理。仿真结果验证了SemantIC在不额外消耗信道资源的情况下带来的性能提升。