mlsanityData to 14 Oct 2026

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

arXiv 2504.07969 ↗First posted 18 Mar 2025cs.NI cs.LG eess.SPcited by 4

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Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 10 of its 13 references that are in the map. First posted on arXiv 18 Mar 2025.

Builds on

10 of 13 references.

References · 10

  1. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  2. 2020Deep Learning Enabled Semantic Communication Systemscited by 292
  3. 2021Nonlinear Transform Source-Channel Coding for Semantic Communicationscited by 76
  4. 2021Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Imagescited by 49
  5. 2021DeepWiVe: Deep-Learning-Aided Wireless Video Transmissioncited by 45
  6. 2022WITT: A Wireless Image Transmission Transformer for Semantic Communicationscited by 37
  7. 2022Distributed Deep Joint Source-Channel Coding over a Multiple Access Channelcited by 16
  8. 2024Robust Image Semantic Coding with Learnable CSI Fusion Masking over MIMO Fading Channelscited by 9
  9. 2023Non-Orthogonal Multiple Access Enhanced Multi-User Semantic Communicationcited by 6
  10. 2023A General 3D Non-Stationary 5G Wireless Channel Modelcited by 3

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 1.

4 papers.

  1. 2025E2E Learning Massive MIMO for Multimodal Semantic Non-Orthogonal Transmission and Fusioncited by 0
  2. 2025Robust Nonlinear Transform Coding: A Framework for Generalizable Joint Source-Channel Codingcited by 0
  3. 2025Context Video Semantic Transmission with Variable Length and Rate Coding over MIMO Channelscited by 0
  4. 2026Wireless Backdoor Attack and Defense for Semantic Communications over Multiple Access Channelcited by 0