Agentic AI-driven framework for 3GPP-compliant (TS 23.501) resource allocation in 5G NR Satellite Networks. Integrates ML models as tools for a LangChain ReAct agent.
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Updated
May 9, 2026 - Jupyter Notebook
Agentic AI-driven framework for 3GPP-compliant (TS 23.501) resource allocation in 5G NR Satellite Networks. Integrates ML models as tools for a LangChain ReAct agent.
Offline-first multi-agent LLM diagnostic assistant for air-gapped satellite NOCs — LangGraph 8-node agent pipeline + local Qwen2.5 + RAG, with a self-critic anti-hallucination guardrail.
Traffic-aware congestion routing in LEO satellite networks using supervised ML — 648 satellites, 11,404 ISLs, >90% improvement over shortest-path baseline
Research fork of BSK-RL extending spacecraft tasking environments toward satellite-terrestrial integrated network simulations.
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