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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/19048

Title: SemantIC: Semantic Interference Cancellation Towards 6G Wireless Communications
Authors: Lin, Wensheng
Yan, Yuna
Li, Lixin
Han, Zhu
Matsumoto, Tad
Keywords: Semantic interference cancellation
Wyner-Ziv theorem
side information
turbo principle
Issue Date: 2024-06-11
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: IEEE Communications Letters
Start page: 1
End page: 1
DOI: 10.1109/LCOMM.2024.3412973
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 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.
Rights: This is the author's version of the work. Copyright (C) 2024 IEEE. IEEE Communications Letters. DOI: 10.1109/LCOMM.2024.3412973. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/10119/19048
Material Type: author
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

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