A wireless agent network framework achieves superior energy efficiency via hierarchical optimization combining semantic compression, resource allocation, and potential field-based topology evolution for agentic AI collaboration.
Toward agentic AI networki ng in 6G: A generative foundation model-as-agent approach
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Agentic AI-Empowered Wireless Agent Networks With Semantic-Aware Collaboration via ILAC
A wireless agent network framework achieves superior energy efficiency via hierarchical optimization combining semantic compression, resource allocation, and potential field-based topology evolution for agentic AI collaboration.