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.
Cite
@article{arxiv.2603.20692,
title = {Agentic Physical-AI for Self-Aware RF Systems},
author = {Linuka Ratnayake and Danidu Dabare and Sanuja Rupasinghe and Warren Jayakumar and Dileepa Marasinghe and Chamira U. S. Edussooriya and Arjuna Madanayake},
journal= {arXiv preprint arXiv:2603.20692},
year = {2026}
}
Comments
2 pages, 3 figures, Accepted for 2026 International Applied Computational Electromagnetics Society (ACES) Symposium