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arXiv 2211.06705cs.ITeess.SPmath.IT
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协作中继网络上的深度联合信源信道编码

Deep Joint Source-Channel Coding Over Cooperative Relay Networks

Chenghong Bian, Yulin Shao, Haotian Wu, Deniz Gunduz

AI总结:

本文提出基于深度联合信源信道编码的图像传输方案,应用于协作中继网络,在AF、DF基础上引入PF模式,仿真显示优于数字基线且性能优雅退化,PF以低复杂度达到DF性能。

摘要:

本文提出了一种新颖的深度联合信源信道编码(DeepJSCC)方案,用于在半双工协作中继信道上进行图像传输。具体而言,我们将DeepJSCC应用于协作通信的两种基本模式,即放大转发(AF)和解码转发(DF)。在DeepJSCC-AF中,中继仅放大并转发其接收到的信号。而在DeepJSCC-DF中,中继首先重建传输的图像,然后在转发前重新编码。考虑到DeepJSCC-DF在中继处恢复图像所需的过高计算开销,我们提出了一种替代方案,称为DeepJSCC-PF,其中中继处理并转发其接收到的信号,而不必恢复图像。仿真结果表明,所提出的DeepJSCC-AF、DF和PF方案优于采用BPG压缩和极化码的数字基线,并且在信道质量恶化时提供优雅的性能退化。进一步研究表明,随着源与中继之间信道条件的改善,DeepJSCC-DF/PF相对于DeepJSCC-AF的PSNR增益提高。此外,DeepJSCC-PF方案以较低的计算复杂度实现了与DeepJSCC-DF相似的性能。

英文摘要:

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 provides 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, DeepJSCC-PF scheme achieves a similar performance to DeepJSCC-DF with lower computational complexity.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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