This research introduces a generative semantic communication framework powered by large language models that addresses complex multi-user cooperation challenges in 6G networks.

• Leverages LLMs to enable natural language-based semantic exchanges between multiple users
• Establishes a shared semantic space for efficient task-oriented collaboration
• Demonstrates improved communication efficiency and reduced bandwidth requirements
• Provides specific applications for smart agriculture and smart cities scenarios

For Engineering: This approach represents a paradigm shift from traditional bit-oriented communication to meaning-focused exchanges, potentially solving the sustainability challenges of current communication systems as device connectivity explodes in 6G environments.

Rethinking Generative Semantic Communication for Multi-User Systems with Large Language Models