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

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.

@article{xie2025_2504.07969,
  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 },
  journal={arXiv preprint arXiv:2504.07969},
  year={ 2025 }
}