A Vision-based Framework for Intelligent gNodeB Mobility Control
2026-03-20T07:23:59Z•05221e5e7f9ee00ac171d549f1a5f9e2ec3bf324b78f575cc074321b63a2672f
5G/6GAutORANLEO satellitesLLMLSTMLSTM‑SACMLOO-RANRAFTRISRUBICONeReconfigurable Intelligent SurfaceSACWi‑Fi 7differential privacy','iParts'digital twindistributed consensusgNodeB mobilitygraph-based DRLiSatCRmobile crowdsensingonboard computingvehicular networksvision sensingxApp
What happened
This feed aggregates multiple 2026 arXiv papers focused on wireless networks, distributed systems, and AI-driven control: vision-enabled O-RAN mobility control (VisionRAN / VisionApp / VisionTwin) for mobile gNodeBs, RIS placement for urban 5G/6G, joint onboard computing+routing for LEO constellations (iSatCR), wireless RAFT-extended distributed consensus for cooperative vehicle maneuvers (RUBICONe), Wi‑Fi 7 MLO cross-layer optimization via LSTM‑SAC, LLM-driven automated xApp generation (AutORAN), privacy- and risk-aware mobile crowdsensing (iParts), gNB energy orchestration, agentic-AI access
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_ni
- Record identifier
- 05221e5e7f9ee00ac171d549f1a5f9e2ec3bf324b78f575cc074321b63a2672f
- Enrichment time
- 2026-03-20T07:23:59Z
- AI-assisted enrichment
- Yes
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