Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications

arXiv — cs.LG•Wednesday, November 12, 2025 at 5:00:00 AM

The emergence of generative AI has catalyzed a paradigm shift in communication, moving from traditional bit-accurate transmission to a more nuanced, meaning-centric approach known as semantic communications. This shift is particularly important as wireless systems approach their theoretical capacity limits. The article provides a comprehensive tutorial on diffusion models, which are recognized for their superior generation quality and stable training dynamics. However, the field currently lacks systematic guidance on how to effectively integrate these diffusion techniques into communication system design. By addressing this gap, the article not only highlights the advantages of diffusion models but also introduces an inverse problem perspective that reformulates semantic decoding as posterior inference. This foundational work is essential for researchers and practitioners aiming to leverage generative semantic communications in the context of advancing technologies like 6G.

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