JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications
Conventional communication systems, including both separation-based coding and learning-based joint source-channel coding (JSCC), are typically designed under Shannon's rate-distortion theory. However, relying on generic distortion metrics fails to capture complex human visual perception, often resulting in blurred or unrealistic reconstructions. In this paper, we propose Joint Source-Channel-Generation Coding (JSCGC), a generative communication paradigm that replaces the conventional decoder with a generative model at the receiver. The received signal is treated as a condition that controls the sampling process into the learned conditional distribution, reformulating communication from d...
| Authors | Tong Wu, Zhiyong Chen, Guo Lu et al. |
|---|---|
| Primary category | cs.IT |
| Published | 11 June 2026 |
| Last updated at source | 11 June 2026 |
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