Wireless Power Transfer for 6G Massive IoT: System Design and Optimization
Dr. Bruno Clerckx, Prof. Rui Zhang
Imperial College London / National University of Singapore
Abstract
We present a comprehensive system design for wireless power transfer (WPT) in 6G massive IoT networks. Our approach uses multi-antenna energy beamforming to charge thousands of IoT sensors simultaneously using 6G base station infrastructure. We develop an AI-based scheduling algorithm that jointly optimizes energy transfer and data communication, demonstrating that 95% of IoT devices within 20 meters can maintain perpetual operation without batteries.
AI Summary
- System design for WPT using 6G base station multi-antenna beamforming.
- 95% of IoT devices within 20m can operate perpetually without batteries.
- AI scheduling jointly optimizes energy transfer and data communication.
- Charges thousands of IoT sensors simultaneously.
Key Findings
- 1Wideband energy beamforming outperforms narrowband by 3x in harvested power.
- 2Joint scheduling avoids the energy-communication tradeoff through time-sharing.
- 3RIS-assisted WPT extends the effective charging range to 50 meters.
Industry Implications
Enables the 6G vision of battery-free massive IoT deployments.
Reduces the environmental impact of billions of IoT device batteries.
Leverages existing 6G infrastructure for dual communication and power delivery.
Read the Original Paper
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