Latency-Aware Generative Semantic Communications with Pre-Trained Diffusion Models

Understand

Generative foundation AI models have recently shown great success in synthesizing natural signals with high perceptual quality using only textual prompts and conditioning signals to guide the generation process.

• This enables semantic communications at extremely low data rates in future wireless networks.
• In this paper, we develop a latency-aware semantic communications framework with pre-trained generative models.
• The transmitter performs multi-modal semantic decomposition on the input signal and transmits each semantic stream with the appropriate coding and communication schemes based on the intent.