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Conference Paper: Deep Joint Source-Channel Coding Over the Relay Channel

TitleDeep Joint Source-Channel Coding Over the Relay Channel
Authors
Keywordscooperative relay networks
decode-and-forward
Deep joint source-channel coding
Issue Date2024
Citation
2024 IEEE International Conference on Machine Learning for Communication and Networking Icmlcn 2024, 2024, p. 139-144 How to Cite?
AbstractThis 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 Identifierhttp://hdl.handle.net/10722/363655

 

DC FieldValueLanguage
dc.contributor.authorBian, Chenghong-
dc.contributor.authorShao, Yulin-
dc.contributor.authorWu, Haotian-
dc.contributor.authorGunduz, Deniz-
dc.date.accessioned2025-10-10T07:48:24Z-
dc.date.available2025-10-10T07:48:24Z-
dc.date.issued2024-
dc.identifier.citation2024 IEEE International Conference on Machine Learning for Communication and Networking Icmlcn 2024, 2024, p. 139-144-
dc.identifier.urihttp://hdl.handle.net/10722/363655-
dc.description.abstractThis 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.languageeng-
dc.relation.ispartof2024 IEEE International Conference on Machine Learning for Communication and Networking Icmlcn 2024-
dc.subjectcooperative relay networks-
dc.subjectdecode-and-forward-
dc.subjectDeep joint source-channel coding-
dc.titleDeep Joint Source-Channel Coding Over the Relay Channel-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICMLCN59089.2024.10624800-
dc.identifier.scopuseid_2-s2.0-85202432414-
dc.identifier.spage139-
dc.identifier.epage144-

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