mlsanityData to 14 Oct 2026

SemantIC: Semantic Interference Cancellation Towards 6G Wireless Communications

arXiv 2310.12768 ↗First posted 19 Oct 2023eess.SP cs.AI cs.ITcited by 7

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Abstract (arXiv)

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.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 7 of its 16 references that are in the map. First posted on arXiv 19 Oct 2023.

Builds on

7 of 16 references.

References · 7

  1. 2014Adam: A Method for Stochastic Optimizationcited by 37,240
  2. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  4. 2022Semantic Communications for Future Internet: Fundamentals, Applications, and Challengescited by 95
  5. 2023On the Road to 6G: Visions, Requirements, Key Technologies and Testbedscited by 77
  6. 2023Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Servicescited by 76
  7. 2023Sparks of GPTs in Edge Intelligence for Metaverse: Caching and Inference for Mobile AIGC Servicescited by 7

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 5; 2025: 1; 2026: 1.

7 papers.