Toward Proactive RF Charging Scheduling: Generative AI for Decision Support
Radio frequency wireless power transfer (RF-WPT) is an enabling technology for supporting uninterrupted communications in future Internet of Things systems by reducing the need for battery replacement and mitigating battery-waste-related issues. For large-scale RF-WPT deployment, one of the main challenges is the scheduler-level resource allocation. Specifically, the RF charger must decide how much energy to deliver, when, and to whom, under limited charging resources, incomplete receiver-side information, and uncertain near-future charging conditions. This article positions generative artificial intelligence (GenAI) as a promising tool for this setting because it can foresee multiple pla...
| Authors | Amirhossein Azarbahram, Osmel M. Rosabal, David Ernesto Ruiz-Guirola et al. |
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| Primary category | eess.SY |
| Published | 9 June 2026 |
| Last updated at source | 28 September 2026 |
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