A Multi-Hop Semantic Communication System Enhanced by Semantic Importance
Semantic communication is envisioned as a promising solution for tackling the data transmission challenges in future wireless communication systems. In this paper, we propose a novel semantic importance-enhanced multi-hop semantic communication (SIMSC) framework that integrates semantic communicatio...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11098835/ |
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| author | Xin Huang Chao Wang Xuming Tian Zuxing Li Cong Zhao Ming Xiao |
| author_facet | Xin Huang Chao Wang Xuming Tian Zuxing Li Cong Zhao Ming Xiao |
| author_sort | Xin Huang |
| collection | DOAJ |
| description | Semantic communication is envisioned as a promising solution for tackling the data transmission challenges in future wireless communication systems. In this paper, we propose a novel semantic importance-enhanced multi-hop semantic communication (SIMSC) framework that integrates semantic communication with a map-and-forward (MF) relaying scheme. To enhance transmission reliability, the framework employs a semantic importance (SI) calculation module to aid in training joint source-channel coding (JSCC) with relays, thereby better protecting the delivery of crucial semantic information over wireless channels with long-distance signal propagation. Different from conventional amplify-and-forward (AF) and decode-and-forward (DF) relaying schemes, the proposed MF scheme leverages a deep neural network (DNN) to adaptively transform the received signal, optimizing it for multi-hop transmission. This enhances robustness and flexibility in varying relay conditions. Numerical results demonstrate that the proposed SIMSC framework performs notably better than conventional solutions that do not utilize semantic coding or relays. Moreover, the MF relaying scheme outperforms the AF and DF schemes, especially when relay distances vary across hops. |
| format | Article |
| id | doaj-art-1365a44c616e4b76bb62766cb2b06787 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-1365a44c616e4b76bb62766cb2b067872025-08-20T03:06:44ZengIEEEIEEE Access2169-35362025-01-011314068514069310.1109/ACCESS.2025.359334111098835A Multi-Hop Semantic Communication System Enhanced by Semantic ImportanceXin Huang0https://orcid.org/0000-0002-2367-1777Chao Wang1https://orcid.org/0000-0002-4548-3697Xuming Tian2https://orcid.org/0009-0008-8863-8573Zuxing Li3https://orcid.org/0000-0002-2276-2079Cong Zhao4https://orcid.org/0000-0002-1017-9118Ming Xiao5https://orcid.org/0000-0002-5407-0835Department of Information and Communication Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, ChinaDepartment of Information and Communication Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, ChinaDepartment of Information and Communication Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, ChinaDepartment of Information and Communication Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, ChinaKey Laboratory of Road and Traffic Engineering of Ministry of Education, College of Transportation Engineering, Tongji University, Shanghai, ChinaDivision of Information Science and Engineering, KTH Royal Institute of Technology, Stockholm, SwedenSemantic communication is envisioned as a promising solution for tackling the data transmission challenges in future wireless communication systems. In this paper, we propose a novel semantic importance-enhanced multi-hop semantic communication (SIMSC) framework that integrates semantic communication with a map-and-forward (MF) relaying scheme. To enhance transmission reliability, the framework employs a semantic importance (SI) calculation module to aid in training joint source-channel coding (JSCC) with relays, thereby better protecting the delivery of crucial semantic information over wireless channels with long-distance signal propagation. Different from conventional amplify-and-forward (AF) and decode-and-forward (DF) relaying schemes, the proposed MF scheme leverages a deep neural network (DNN) to adaptively transform the received signal, optimizing it for multi-hop transmission. This enhances robustness and flexibility in varying relay conditions. Numerical results demonstrate that the proposed SIMSC framework performs notably better than conventional solutions that do not utilize semantic coding or relays. Moreover, the MF relaying scheme outperforms the AF and DF schemes, especially when relay distances vary across hops.https://ieeexplore.ieee.org/document/11098835/Semantic communicationmulti-hop communicationsemantic importanceimage classification |
| spellingShingle | Xin Huang Chao Wang Xuming Tian Zuxing Li Cong Zhao Ming Xiao A Multi-Hop Semantic Communication System Enhanced by Semantic Importance IEEE Access Semantic communication multi-hop communication semantic importance image classification |
| title | A Multi-Hop Semantic Communication System Enhanced by Semantic Importance |
| title_full | A Multi-Hop Semantic Communication System Enhanced by Semantic Importance |
| title_fullStr | A Multi-Hop Semantic Communication System Enhanced by Semantic Importance |
| title_full_unstemmed | A Multi-Hop Semantic Communication System Enhanced by Semantic Importance |
| title_short | A Multi-Hop Semantic Communication System Enhanced by Semantic Importance |
| title_sort | multi hop semantic communication system enhanced by semantic importance |
| topic | Semantic communication multi-hop communication semantic importance image classification |
| url | https://ieeexplore.ieee.org/document/11098835/ |
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