Multi-user Wireless Image Semantic Transmission over MIMO Multiple Access Channels
Journal:
arXiv
Published Date:
Mar 18, 2025
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.
