Deep Joint Source-Channel Coding Over the Relay Channel

被引:2
作者
Bian, Chenghong [1 ]
Shao, Yulin [2 ,3 ]
Wu, Haotian [1 ]
Gunduz, Deniz [1 ]
机构
[1] Imperial Coll London, Dept Elect & Elect Engn, London, England
[2] Univ Macau, State Key Lab Internet Things Smart City, Taipa, Macao, Peoples R China
[3] Univ Macau, Dept Elect & Comp Engn, Taipa, Macao, Peoples R China
来源
2024 IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING FOR COMMUNICATION AND NETWORKING, ICMLCN 2024 | 2024年
关键词
Deep joint source-channel coding; cooperative relay networks; decode-and-forward; CAPACITY;
D O I
10.1109/ICMLCN59089.2024.10624800
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:374 / 379
页数:6
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