Public articles linked to the same research event.
arXiv The work proposes a dual-loop Agentic RF Intelligence architecture for 6G that decouples millisecond-scale, locally autonomous wireless sensing (processing IQ samples with signal-processing tools and wireless physical-layer foundation models, WPFMs) from second-to-minute-scale agentic reasoning and orchestration (a local LLM asynchronously interpreting RF events, invoking tools, and steering sensing), and validates the separation of timescales on an on-device prototype running the full stack on a single NVIDIA Jetson Thor connected to a B200 Mini USRP, with the fast loop remaining operational during agentic reasoning.
The work proposes a dual-loop Agentic RF Intelligence architecture for 6G that decouples millisecond-scale, locally autonomous wireless sensing (processing IQ samples with signal-processing tools and wireless physical-layer foundation models, WPFMs) from second-to-minute-scale agentic reasoning and orchestration (a local LLM asynchronously interpreting RF events, invoking tools, and steering sensing), and validates the separation of timescales on an on-device prototype running the full stack on a single NVIDIA Jetson Thor connected to a B200 Mini USRP, with the fast loop remaining operational during agentic reasoning.
The work proposes a dual-loop Agentic RF Intelligence architecture for 6G that decouples millisecond-scale, locally autonomous wireless sensing (processing IQ samples with signal-processing tools and wireless physical-layer foundation models, WPFMs) from second-to-minute-scale agentic reasoning and orchestration (a local LLM asynchronously interpreting RF events, invoking tools, and steering sensing), and validates the separation of timescales on an on-device prototype running the full stack on a single NVIDIA Jetson Thor connected to a B200 Mini USRP, with the fast loop remaining operational during agentic reasoning.
The work proposes a dual-loop Agentic RF Intelligence architecture for 6G that decouples millisecond-scale, locally autonomous wireless sensing (processing IQ samples with signal-processing tools and wireless physical-layer foundation models, WPFMs) from second-to-minute-scale agentic reasoning and orchestration (a local LLM asynchronously interpreting RF events, invoking tools, and steering sensing), and validates the separation of timescales on an on-device prototype running the full stack on a single NVIDIA Jetson Thor connected to a B200 Mini USRP, with the fast loop remaining operational during agentic reasoning.