all AI news
SemantIC: Semantic Interference Cancellation Towards 6G Wireless Communications
June 17, 2024, 4:45 a.m. | Wensheng Lin, Yuna Yan, Lixin Li, Zhu Han, Tad Matsumoto
cs.LG updates on arXiv.org arxiv.org
Abstract: 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 …
abstract arxiv auto communications cs.ai cs.it cs.lg cs.ni decoder eess.sp encoder information interference loop math.it networks noise novel quality replace semantic turbo type wireless wireless communications
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
AI Focused Biochemistry Postdoctoral Fellow
@ Lawrence Berkeley National Lab | Berkeley, CA
Senior Data Engineer
@ Displate | Warsaw
Data Architect
@ Unison Consulting Pte Ltd | Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Data Architect
@ Games Global | Isle of Man, Isle of Man
Enterprise Data Architect
@ Ent Credit Union | Colorado Springs, CO, United States
Lead Data Architect (AWS, Azure, GCP)
@ CapTech Consulting | Chicago, IL, United States