{"ID":2896314,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.08164","arxiv_id":"2507.08164","title":"KP-A: A Unified Network Knowledge Plane for Catalyzing Agentic Network Intelligence","abstract":"The emergence of large language models (LLMs) and agentic systems is enabling autonomous 6G networks with advanced intelligence, including self-configuration, self-optimization, and self-healing. However, the current implementation of individual intelligence tasks necessitates isolated knowledge retrieval pipelines, resulting in redundant data flows and inconsistent interpretations. Inspired by the service model unification effort in Open-RAN (to support interoperability and vendor diversity), we propose KP-A: a unified Network Knowledge Plane specifically designed for Agentic network intelligence. By decoupling network knowledge acquisition and management from intelligence logic, KP-A streamlines development and reduces maintenance complexity for intelligence engineers. By offering an intuitive and consistent knowledge interface, KP-A also enhances interoperability for the network intelligence agents. We demonstrate KP-A in two representative intelligence tasks: live network knowledge Q\u0026A and edge AI service orchestration. All implementation artifacts have been open-sourced to support reproducibility and future standardization efforts.","short_abstract":"The emergence of large language models (LLMs) and agentic systems is enabling autonomous 6G networks with advanced intelligence, including self-configuration, self-optimization, and self-healing. However, the current implementation of individual intelligence tasks necessitates isolated knowledge retrieval pipelines, re...","url_abs":"https://arxiv.org/abs/2507.08164","url_pdf":"https://arxiv.org/pdf/2507.08164v1","authors":"[\"Yun Tang\",\"Mengbang Zou\",\"Zeinab Nezami\",\"Syed Ali Raza Zaidi\",\"Weisi Guo\"]","published":"2025-07-10T20:54:36Z","proceeding":"cs.NI","tasks":"[\"cs.NI\",\"cs.AI\",\"cs.SE\"]","methods":"[\"Large Language Model\",\"Language Model\"]","has_code":false}