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- Publisher Website: 10.1109/ICMLCN59089.2024.10624800
- Scopus: eid_2-s2.0-85202432414
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Conference Paper: Deep Joint Source-Channel Coding Over the Relay Channel
| Title | Deep Joint Source-Channel Coding Over the Relay Channel |
|---|---|
| Authors | |
| Keywords | cooperative relay networks decode-and-forward Deep joint source-channel coding |
| Issue Date | 2024 |
| Citation | 2024 IEEE International Conference on Machine Learning for Communication and Networking Icmlcn 2024, 2024, p. 139-144 How to Cite? |
| Abstract | This paper presents a novel deep joint source-channel coding (DeepJSCC) scheme for image transmission over a half-duplex cooperative relay channel. Specifically, we apply DeepJSCC to two basic modes of cooperative communications, namely amplify-and-forward (AF) and decode-and-forward (DF). In DeepJSCC-AF, the relay simply amplifies and forwards its received signal. In DeepJSCC-DF, on the other hand, the relay first reconstructs the transmitted image and then re-encodes it before forwarding. Considering the excessive computation overhead of DeepJSCC-DF for recovering the image at the relay, we propose an alternative scheme, called DeepJSCC-PF, in which the relay processes and forwards its received signal without necessarily recovering the image. Simulation results show that the proposed DeepJSCC-AF, DF, and PF schemes are superior to the digital baselines with BPG compression with polar codes and provide a graceful performance degradation with deteriorating channel quality. Further investigation shows that the PSNR gain of DeepJSCC-DF/PF over DeepJSCC-AF improves as the channel condition between the source and relay improves. Moreover, the DeepJSCC-PF scheme achieves similar performance to DeepJSCC-DF with lower computational complexity. |
| Persistent Identifier | http://hdl.handle.net/10722/363655 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bian, Chenghong | - |
| dc.contributor.author | Shao, Yulin | - |
| dc.contributor.author | Wu, Haotian | - |
| dc.contributor.author | Gunduz, Deniz | - |
| dc.date.accessioned | 2025-10-10T07:48:24Z | - |
| dc.date.available | 2025-10-10T07:48:24Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.citation | 2024 IEEE International Conference on Machine Learning for Communication and Networking Icmlcn 2024, 2024, p. 139-144 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/363655 | - |
| dc.description.abstract | This paper presents a novel deep joint source-channel coding (DeepJSCC) scheme for image transmission over a half-duplex cooperative relay channel. Specifically, we apply DeepJSCC to two basic modes of cooperative communications, namely amplify-and-forward (AF) and decode-and-forward (DF). In DeepJSCC-AF, the relay simply amplifies and forwards its received signal. In DeepJSCC-DF, on the other hand, the relay first reconstructs the transmitted image and then re-encodes it before forwarding. Considering the excessive computation overhead of DeepJSCC-DF for recovering the image at the relay, we propose an alternative scheme, called DeepJSCC-PF, in which the relay processes and forwards its received signal without necessarily recovering the image. Simulation results show that the proposed DeepJSCC-AF, DF, and PF schemes are superior to the digital baselines with BPG compression with polar codes and provide a graceful performance degradation with deteriorating channel quality. Further investigation shows that the PSNR gain of DeepJSCC-DF/PF over DeepJSCC-AF improves as the channel condition between the source and relay improves. Moreover, the DeepJSCC-PF scheme achieves similar performance to DeepJSCC-DF with lower computational complexity. | - |
| dc.language | eng | - |
| dc.relation.ispartof | 2024 IEEE International Conference on Machine Learning for Communication and Networking Icmlcn 2024 | - |
| dc.subject | cooperative relay networks | - |
| dc.subject | decode-and-forward | - |
| dc.subject | Deep joint source-channel coding | - |
| dc.title | Deep Joint Source-Channel Coding Over the Relay Channel | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1109/ICMLCN59089.2024.10624800 | - |
| dc.identifier.scopus | eid_2-s2.0-85202432414 | - |
| dc.identifier.spage | 139 | - |
| dc.identifier.epage | 144 | - |
