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Wireless Power Transfer and Energy Harvesting: Current Status and Future Prospects.
Jun Huang1, Yide Zhou1, Zhaolong Ning2
1Chongqing University of Posts and Telecommunications.
Wireless power supply methods like energy harvesting and wireless power transfer offer alternatives to traditional batteries for mobile devices. A novel energy scheduling scheme using a modified water filling algorithm optimizes harvested energy in D2D relay networks.
Area of Science:
- Electrical Engineering
- Wireless Communication
- Energy Systems
Background:
- Mobile devices rely on rechargeable batteries, facing limitations in capacity and requiring frequent charging.
- Wireless power supply methods, including energy harvesting and wireless power transfer, are emerging as promising solutions.
- Efficient energy management is crucial for the practical implementation of wireless power systems.
Purpose of the Study:
- To provide an overview of recent advancements in wireless power supply technologies.
- To present promising applications and future trends in wireless power.
- To propose and analyze an energy scheduling scheme for energy harvesting-powered device-to-device (D2D) relay networks.
Main Methods:
- Literature review of recent advances in wireless power supply.
- Formulation of an optimization problem for energy scheduling in EH-powered D2D networks.
- Development of a modified two-stage directional water filling algorithm to solve the energy scheduling problem.
Main Results:
- The study provides a comprehensive overview of wireless power supply technologies and their applications.
- A novel energy scheduling scheme is proposed for efficient energy management in D2D relay networks.
- The modified water filling algorithm effectively resolves the formulated energy scheduling optimization problem.
Conclusions:
- Wireless power supply offers a viable alternative to conventional batteries, with significant future potential.
- The proposed energy scheduling scheme enhances the efficiency of harvested energy utilization in D2D networks.
- The modified two-stage directional water filling algorithm demonstrates effectiveness in optimizing energy scheduling for wireless power systems.
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