Multi-user Wireless Image Semantic Transmission over MIMO Multiple Access Channels

Bingyan Xie, Yongpeng Wu, Feng Shu, Jiangzhou Wang, Wenjun Zhang
3/18/2025
cs.NIcs.LGeess.SP

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Abstract

This paper focuses on a typical uplink transmission scenario over multiple-input multiple-output multiple access channel (MIMO-MAC) and thus propose a multi-user learnable CSI fusion semantic communication (MU-LCFSC) framework. It incorporates CSI as the side information into both the semantic encoders and decoders to generate a proper feature mask map in order to produce a more robust attention weight distribution. Especially for the decoding end, a cooperative successive interference cancellation procedure is conducted along with a cooperative mask ratio generator, which flexibly controls the mask elements of feature mask maps. Numerical results verify the superiority of proposed MU-LCFSC compared to DeepJSCC-NOMA over 3 dB in terms of PSNR.

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Cite this paper

@article{xie2025multiuser,
  title  = {Multi-user Wireless Image Semantic Transmission over MIMO Multiple Access Channels},
  author = {Bingyan Xie and Yongpeng Wu and Feng Shu and Jiangzhou Wang and Wenjun Zhang},
  year   = {2025},
  eprint = {2504.07969},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2504.07969v1}
}

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