A low-overhead DDST framework with mix transmission and ViT-based receiver shows performance gains in low-to-medium SNR under time-varying channels.
Conditional diffusion model-enabled scenario-specific neural receivers for superimposed pilot schemes,
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Low-Overhead Receiver Design for Data-Dependent Superimposed Training via Deep Learning
A low-overhead DDST framework with mix transmission and ViT-based receiver shows performance gains in low-to-medium SNR under time-varying channels.