Agentic Physical-AI for Self-Aware RF Systems
Fuente:
arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866910062476263424 |
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| author | Ratnayake, Linuka Dabare, Danidu Rupasinghe, Sanuja Jayakumar, Warren Marasinghe, Dileepa Edussooriya, Chamira U. S. Madanayake, Arjuna |
| author_facet | Ratnayake, Linuka Dabare, Danidu Rupasinghe, Sanuja Jayakumar, Warren Marasinghe, Dileepa Edussooriya, Chamira U. S. Madanayake, Arjuna |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_20692 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Agentic Physical-AI for Self-Aware RF Systems Ratnayake, Linuka Dabare, Danidu Rupasinghe, Sanuja Jayakumar, Warren Marasinghe, Dileepa Edussooriya, Chamira U. S. Madanayake, Arjuna Signal Processing Multiagent Systems 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. |
| title | Agentic Physical-AI for Self-Aware RF Systems |
| topic | Signal Processing Multiagent Systems |
| url | https://arxiv.org/abs/2603.20692 |