SC-SFMA with transformer-based transceivers and a three-block alternating optimization achieves PSNR, MS-SSIM, and sum-rate gains over JSCC and conventional multiple access baselines in ILAC networks.
Deep learning-based superpo sition coded modulation for hierarchical semantic communications over broadcast channels,
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Semantic Feature Multiple Access Empowered Integrated Learning and Communication Networks
SC-SFMA with transformer-based transceivers and a three-block alternating optimization achieves PSNR, MS-SSIM, and sum-rate gains over JSCC and conventional multiple access baselines in ILAC networks.