论文标题
通过多个访问渠道分布式深接头源通道编码
Distributed Deep Joint Source-Channel Coding over a Multiple Access Channel
论文作者
论文摘要
我们考虑使用Deep Joint Source通道编码（DEEPJSCC）在嘈杂的多访问通道（MAC）上通过嘈杂的多个访问通道（MAC）进行分布式图像传输。众所周知，香农的分离定理在渐近无限块长度状态中的MAC上传输独立源时会保持。但是，我们对实际有限的块长度制度感兴趣，在这种情况下，已知单独的源和通道编码是次优的。我们引入了一种新型的关节图像压缩和传输方案，其中设备以非正交方式发送其压缩图像表示形式。虽然已知非正交的多重访问（NOMA）可以达到能力区域，但据我们所知，实用系统的非正交联合源通道编码（JSCC）方案以前尚未研究过。通过广泛的实验，与正交传输相比，我们采用了当前的DEEPJSCC方法，尤其是对于低带宽比率，我们在重建图像的质量方面显示出显着改善。我们公开共享源代码，以促进进一步的研究和可重复性。
We consider distributed image transmission over a noisy multiple access channel (MAC) using deep joint source-channel coding (DeepJSCC). It is known that Shannon's separation theorem holds when transmitting independent sources over a MAC in the asymptotic infinite block length regime. However, we are interested in the practical finite block length regime, in which case separate source and channel coding is known to be suboptimal. We introduce a novel joint image compression and transmission scheme, where the devices send their compressed image representations in a non-orthogonal manner. While non-orthogonal multiple access (NOMA) is known to achieve the capacity region, to the best of our knowledge, non-orthogonal joint source channel coding (JSCC) scheme for practical systems has not been studied before. Through extensive experiments, we show significant improvements in terms of the quality of the reconstructed images compared to orthogonal transmission employing current DeepJSCC approaches particularly for low bandwidth ratios. We publicly share source code to facilitate further research and reproducibility.
