Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RAN

Abstract: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. We propose a unified memory paradigm that dissolves the boundaries between sensing and reasoning by mapping biological memory hierarchies onto heterogeneous computing fabrics. Enabled by emerging coherent interconnects, this approach creates a cognitive continuum where microsecond-level reflexes, millisecond-level reasoning, and long-term evolution share state across time scales. By replacing message passing with zero-copy observability, we empower AI agents to bridge the gap between real-time responsiveness and long-horizon context for truly autonomous 6G networks.

Networking and Internet Architecture (cs.NI); Artificial Intelligence (cs.AI)

arXiv:2605.10036 [cs.NI]

(or arXiv:2605.10036v2 [cs.NI] for this version)

https://doi.org/10.48550/arXiv.2605.10036 Focus to learn more arXiv-issued DOI via DataCite

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