Differential Evolution in Waveform Design for Wireless Power Transfer
| Autor: | Arnaud Bréard, Yvan Duroc, Pavlos Doanis, Julien Huillery, Sotirios K. Goudos, Achilles D. Boursianis |
|---|---|
| Přispěvatelé: | Department of Physics, Aristotle University of Thessaloniki, Ampère, Département Méthodes pour l'Ingénierie des Systèmes (MIS), Ampère (AMPERE), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ampère, Département Energie Electrique (EE) |
| Rok vydání: | 2020 |
| Předmět: |
Optimization problem
Computer science Evolutionary algorithm wireless power transfer 020206 networking & telecommunications 02 engineering and technology waveform design [SPI]Engineering Sciences [physics] Rectenna Transmission (telecommunications) Control theory Channel state information Differential evolution 0202 electrical engineering electronic engineering information engineering Waveform 020201 artificial intelligence & image processing Wireless power transfer evolutionary algorithms channel state information ComputingMilieux_MISCELLANEOUS |
| Zdroj: | Télécom : revue de l'association TELECOM Paristech ALUMNI Télécom : revue de l'association TELECOM Paristech ALUMNI, Association Télécom ParisTech alumni, 2020, 1 (2), pp.96-113. ⟨10.3390/telecom1020008⟩ Telecom Volume 1 Issue 2 Pages 8-113 |
| ISSN: | 2673-4001 0040-2478 |
| DOI: | 10.3390/telecom1020008 |
| Popis: | The technique of transmitting multi-tone signals in a radiative Wireless Power Transfer (WPT) system can significantly increase its end-to-end power efficiency. The optimization problem in this system is to tune the transmission according to the receiver rectenna&rsquo s nonlinear behavior and the Channel State Information (CSI). This is a non-convex problem that has been previously addressed by Sequential Convex Programming (SCP) algorithms. Nonetheless, SCP algorithms do not always attain globally optimal solutions. To this end, in this paper, we evaluate a set of Evolutionary Algorithms (EAs) with several characteristics. The performance of the optimized multi-tone transmission signals in a WPT system is assessed by means of numerical simulations, utilizing a simplified Single Input Single Output (SISO) model. From the model evaluation, we can deduce that EAs can be successfully applied to the waveform design optimization problem. Moreover, from the presented results, we can derive that EAs can obtain the optimal solutions in the tested cases. |
| Databáze: | OpenAIRE |
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