Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RAN
- URL: http://arxiv.org/abs/2605.10036v1
- Date: Mon, 11 May 2026 06:04:10 GMT
- Title: Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RAN
- Abstract summary: 6G must transcend traditional automation to embrace agentic AI capable of perception, reasoning, and evolution.<n>This article envisions a shift from interface-bound to memory-centric architectures.<n>By replacing message passing with zero-copy observability, we empower AI agents to bridge the gap between real-time responsiveness and long-horizon context.
- Score: 62.429669462281645
- License: http://creativecommons.org/licenses/by/4.0/
- 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.
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