Semantic-Forward Relaying: A Novel Framework Towards 6G Cooperative Communications
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866929207369531392 |
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| author | Lin, Wensheng Yan, Yuna Li, Lixin Han, Zhu Matsumoto, Tad |
| author_facet | Lin, Wensheng Yan, Yuna Li, Lixin Han, Zhu Matsumoto, Tad |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2310_07987 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Semantic-Forward Relaying: A Novel Framework Towards 6G Cooperative Communications Lin, Wensheng Yan, Yuna Li, Lixin Han, Zhu Matsumoto, Tad Networking and Internet Architecture Information Theory Machine Learning Signal Processing 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. |
| title | Semantic-Forward Relaying: A Novel Framework Towards 6G Cooperative Communications |
| topic | Networking and Internet Architecture Information Theory Machine Learning Signal Processing |
| url | https://arxiv.org/abs/2310.07987 |