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Time Division Wireless Power Transfer Using Receiver Grouping

delete2024-01-01
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OA
AI
Y
Y. Sawada *
S
Shino Shiraki
T
Takahiro Matsuda
T
Takefumi Hiraguri
K
Kazuki Maruta
DOI:10.1109/ACCESS.2024.3440372delete
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Abstract

Abstract

En 中文
Wireless power transfer (WPT) has attracted significant attention as a method of supplying energy to low-power devices, such as Internet of Things (IoT) and sensor devices. In WPT systems, beamforming techniques based on array antenna signal processing, such as multiple-input multiple-output (MIMO) and multiple-input single-output (MISO), are mandatory to improve energy conversion efficiency. In this study, to fairly and efficiently transfer energy for multiple receivers, we consider time-division WPT (TD-WPT) in a MISO-based WPT system, where the transmitter periodically switches weight vectors for receivers by assigning a time slot to each weight vector. From two properties, beneficial interference and channel dependency in WPT, we propose a TD-WPT system with receiver grouping, where the receivers are divided into some groups, and the weight vectors and slot lengths are optimized for the groups. In the proposed method, we consider two methods for receiver grouping, distance-based grouping and channel-based grouping, where the former and the latter divide receivers according to the distances between receivers and similarities of the channel coefficients, respectively. Additionally, we extend the channel-based grouping method by considering the homogeneity of the supplied power levels. Simulation experiments in a multipath indoor environment show that the proposed method improves the minimum and average harvested energy.
Keywords:
Receivers
Vectors
Scheduling
Wireless power transfer
Array signal processing
Transmitters
Rectennas
Grouping
scheduling
time division (TD)
wireless power transfer (WPT)

Journal

IEEE Access cover
IEEE Access
IF:
3.6
Papers:
9.8W
Citations:
29.4W

Organization

T
Tokyo University of Science
Scholars:
8.3K
Papers: 6.2K
Citations: 1.0W
T
Tokyo Metropolitan University
Scholars:
4.1K
Papers: 3.8K
Citations: 5.9K