arXiv:2606.10600v1 Announce Type: cross Abstract: 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 transmitter must decide how much energy to deliver, when, and to whom, under limited charging resources, incomplete receiver-side information, and uncertain near-future charging co
The proliferation of IoT devices and advancements in generative AI are converging, enabling more sophisticated solutions for complex resource allocation problems like RF charging.
Efficient wireless power transfer is critical for scaling IoT deployments, reducing maintenance costs, and enabling truly autonomous systems by addressing power supply constraints.
Generative AI can enable proactive and optimized RF charging schedules, moving beyond reactive power solutions to more efficient and sustainable energy management for large-scale device networks.
- · IoT device manufacturers
- · Smart city developers
- · AI software providers
- · Logistics and industrial sectors
- · Battery manufacturers (for IoT)
- · Manual maintenance services
- · Inefficient power delivery systems
Widespread adoption of RF-WPT due to improved scheduling increases the longevity and reliability of IoT networks.
Reduced need for physical battery changes in IoT devices frees up human capital and reduces waste, driving sustainability goals.
Always-on, maintenance-free IoT networks become the backbone for highly autonomous and pervasive smart environments, enabling new service models and data collection at scale.
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Read at arXiv cs.LG