The paper ‘Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach’ introduces a transformative strategy for future mobile network architectures. The 6G-GOALS proposes integrating semantic, pragmatic, and goal-oriented communication with AI-native technologies to optimize bandwidth, latency, energy, and EMF radiation. The approach emphasizes relevance, efficacy, and timely information exchange among AI agents.

• Revolutionary 6G-GOALS approach for AI-Native Networks.
• Semantic and goal-oriented communication principles to enhance agent interaction.
• AI-enhanced semantic data representation and compression.
• Sustainable wireless services through efficient use of resources.
• Proof-of-concept demonstrations for near-future use cases.

This paper provides a compelling vision for next-generation mobile networks, demonstrating the potential of AI-native technologies to foster smarter, more sustainable communications. It also poses an important framework for ongoing research and development in the field of wireless communication and AI. Read more