Distributed Deep Joint Source-Channel Coding over a Multiple Access Channel
November 17, 2022 Β· Declared Dead Β· π ICC 2023 - IEEE International Conference on Communications
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Authors
Selim F. Yilmaz, Can Karamanli, Deniz Gunduz
arXiv ID
2211.09920
Category
eess.IV: Image & Video Processing
Cross-listed
cs.CV,
cs.IT,
cs.LG,
eess.SP
Citations
34
Venue
ICC 2023 - IEEE International Conference on Communications
Last Checked
6 months ago
Abstract
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.
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