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Random Energy Beamforming for Magnetic MIMO Wireless Power Transfer System
Zhao,Yubin1; Li,Xiaofan2,5; Ji,Yuefeng3; Xu,Cheng Zhong4
2020-03-01
Source PublicationIEEE Internet of Things Journal
Volume7Issue:3Pages:1773-1787
AbstractMagnetic MIMO is a wireless power transfer (WPT) system that employs multiple magnetic resonance coils to provide high efficient wireless power in the near field. Magnetic energy beamforming is a typical scheme to control the currents or voltages of the transmitter coils in order to achieve some objectives. Thus, the magnetic channel information is essential to magnetic beamforming (MagBF), and it needs complicated circuits and communication protocols to feedback such information. Such information may be not available due to the circuit limits or privacy concerns. In addition, the performance will be degraded with imperfect channel estimation in the noisy and mobile dynamic environment. In this case, only some limited feedback information is available, e.g., received power. In this article, we propose a random MagBF method to achieve maximum received power efficiency and simplify the system architecture. This scheme employs iterative Monte Carlo sampling and resampling to search an optimal beamforming solution based on the received power feedbacks. We design an online training protocol to implement the proposed scheme. It is computationally light and requires only limited feedback information, which avoids complex channel estimation or AC measurements. The simulation and real experimental results indicate that our algorithm can effectively increase the received power and approach the optimal performance with a fast convergent rate.
KeywordEnergy beamforming feedback magnetic resonance MIMO wireless power transfer (WPT)
DOI10.1109/JIOT.2019.2962699
URLView the original
Language英语
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Document TypeJournal article
CollectionFaculty of Science and Technology
Corresponding AuthorLi,Xiaofan
Affiliation1.Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen,518055,China
2.School of Intelligent Systems Science and Engineering,Jinan University,Zhuhai,519070,China
3.School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing,100876,China
4.Department of Computer and Information Science,State Key Laboratory of IoTSC,University of Macau,Macao
5.State Radio Monitoring Center Testing Center,Beijing,100041,China
Recommended Citation
GB/T 7714
Zhao,Yubin,Li,Xiaofan,Ji,Yuefeng,et al. Random Energy Beamforming for Magnetic MIMO Wireless Power Transfer System[J]. IEEE Internet of Things Journal,2020,7(3):1773-1787.
APA Zhao,Yubin,Li,Xiaofan,Ji,Yuefeng,&Xu,Cheng Zhong.(2020).Random Energy Beamforming for Magnetic MIMO Wireless Power Transfer System.IEEE Internet of Things Journal,7(3),1773-1787.
MLA Zhao,Yubin,et al."Random Energy Beamforming for Magnetic MIMO Wireless Power Transfer System".IEEE Internet of Things Journal 7.3(2020):1773-1787.
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