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Statistical Characterization of Wireless Power Transfer via Unmodulated Emission
1Departament de Ciències Matemàtiques i Informàtica, Universitat de les Illes Balears, 07122 Palma, Spain.
Sensors (Basel, Switzerland)
|October 27, 2022
Summary
This study statistically analyzes harvested energy in wireless power transfer using the generalized-K model. It provides formulas for average and variance, enabling continuous power for IoT and 5G/6G devices.
Area of Science:
- Wireless communication
- Energy harvesting
- Statistical modeling
Background:
- Wireless power transfer is gaining research interest.
- Accurate statistical characterization of harvested energy is crucial.
- The generalized-K model effectively describes wireless propagation effects.
Purpose of the Study:
- To statistically characterize harvested energy for a static device.
- To utilize the generalized-K propagation model for analysis.
- To provide analytical methods for energy harvesting in wireless scenarios.
Main Methods:
- Simulation-validated analytical methods were employed.
- Exact closed-form expressions for average and variance were derived.
- The generalized-K model was applied to wireless channel characterization.
Main Results:
- Provided exact closed-form expressions for harvested energy's average and variance.
- Validated analytical methods through simulations.
- Characterized energy harvesting under the generalized-K model.
Conclusions:
- The derived formulation supports power transfer planning for continuous device operation.
- Enables reliable energy harvesting strategies for future networks like IoT and 5G/6G.
- Offers a robust method for statistical energy characterization in wireless systems.
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