Agentic Physical-AI for Self-Aware RF Systems
This addresses adaptive RF systems for communication, but appears incremental as it builds on existing multi-agent and neurosymbolic approaches.
The paper tackles intelligent control of RF transceivers by proposing a multi-agent neurosymbolic AI system where AI agents are assigned to circuit components, with modeling of the IF amplifier showing promising results that can be extended to create a fully intelligent RF system.
Intelligent control of RF transceivers adapting to dynamic operational conditions is essential in the modern and future communication systems. We propose a multi-agent neurosymbolic AI system, where AI agents are assigned for circuit components. Agents have an internal model and a corresponding control algorithm as its constituents. Modeling of the IF amplifier shows promising results, where the same approach can be extended to all the components, thus creating a fully intelligent RF system.