From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective
arXiv 2607.06786•8eeb148d42b8666a55f137c78a4c07dda91bf76190ce1de7a481ed5fde9f77aa
6GAI-in-RANAdversarial MLAgentic AIAutogenic network managementBBR congestion controlCooperative perceptionDRL/PPOGNSS spoofingGhost vehiclesIAB/Sub6 backhaulLEO satellite networksLarge AI Models (LAM)Model poisoningModel-based controlNear-RT RICO-RANPrivacy/leakagePrompt injectionSmall Language Models (SLM)Supply chain riskThroughput/availability attacksV2XWi‑Fi MLOxApp
Paper metadata
- arXiv ID
- 2607.06786
- Version
- Not specified by this published record
- Category
- Computer Science — Networking and Internet Architecture (cs.NI)
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Evidence and limitations
- Source ID
- arxiv_cs_ni
- Record identifier
- 8eeb148d42b8666a55f137c78a4c07dda91bf76190ce1de7a481ed5fde9f77aa
- Enrichment time
- 2026-07-09T07:23:51Z
- AI-assisted enrichment
- Yes
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