Boosting Quantum Battery-Based IoT Gadgets via RF-Enabled Energy Harvesting

Area of Science:

• Quantum physics
• Wireless communication engineering
• Energy harvesting technologies

Background:

• The demand for portable energy for small wireless devices is growing.
• Quantum batteries (QBs) offer a promising but challenging solution.
• Maintaining a lossless environment for QBs is practically difficult.

Purpose of the Study:

• To model and optimize a Radio-Frequency (RF) Energy Harvesting (EH)-assisted, QB-enabled Internet-of-Things (IoT) system.
• To minimize total transmit power under energy harvesting and module count constraints.
• To optimize the number of RF-EH modules based on power and energy constraints.

Main Methods:

• Modeling an IoT system integrating RF-EH modules with Quantum sources.
• Developing analytical solutions for power minimization and module optimization.
• Cross-validating solutions with a non-linear program solver.

Main Results:

• Achieved analytical solutions for minimizing transmit power and optimizing RF-EH ICs.
• Demonstrated the effectiveness of the proposed technique through theoretical and simulation-based numerical results.
• Validated the model's performance across various operating parameters.

Conclusions:

• The proposed RF-EH assisted QB system offers an efficient energy solution for IoT devices.
• Optimization strategies effectively manage transmit power and harvested energy.
• The framework provides a viable approach for practical QB implementation in wireless systems.