Semantic-Forward Relaying: A Novel Framework Toward 6G Cooperative Communications
Lin, Wensheng; Yan, Yuna; Li, Lixin; Han, Zhu; Matsumoto, Tad (2024-01-11)
IEEE
11.01.2024
W. Lin, Y. Yan, L. Li, Z. Han and T. Matsumoto, "Semantic-Forward Relaying: A Novel Framework Toward 6G Cooperative Communications," in IEEE Communications Letters, vol. 28, no. 3, pp. 518-522, March 2024, doi: 10.1109/LCOMM.2024.3352916
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© 2024 IEEE. 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.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202403262438
https://urn.fi/URN:NBN:fi:oulu-202403262438
Tiivistelmä
Abstract
This letter proposes a novel relaying framework, semantic-forward (SF), for cooperative communications towards the sixth-generation (6G) wireless networks. The SF relay extracts and transmits the semantic features, which reduces forwarding payload, and also improves the network robustness against intra-link errors. Based on the theoretical basis for cooperative communications with side information and the turbo principle, we design a joint source-channel coding algorithm to iteratively exchange the extrinsic information for enhancing the decoding gains at the destination. Surprisingly, simulation results indicate that even in bad channel conditions, SF relaying can still effectively improve the recovered information quality.
This letter proposes a novel relaying framework, semantic-forward (SF), for cooperative communications towards the sixth-generation (6G) wireless networks. The SF relay extracts and transmits the semantic features, which reduces forwarding payload, and also improves the network robustness against intra-link errors. Based on the theoretical basis for cooperative communications with side information and the turbo principle, we design a joint source-channel coding algorithm to iteratively exchange the extrinsic information for enhancing the decoding gains at the destination. Surprisingly, simulation results indicate that even in bad channel conditions, SF relaying can still effectively improve the recovered information quality.
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