AI RESEARCH
Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RAN
arXiv CS.AI
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ArXi:2605.10036v1 Announce Type: cross As 6G evolves, the radio access network must transcend traditional automation to embrace agentic AI capable of perception, reasoning, and evolution. A fundamental cognitive gap persists in current disaggregated architectures, where interfaces force the physical layer to compress high-dimensional states into low-dimensional metrics, trapping reasoning agents behind a semantic bottleneck. This article envisions a shift from interface-bound to memory-centric architectures.