IMRG: Impedance Matching Oriented Receiver Grouping for MIMO WPT System

Lulu Tang, Hao Zhou, Weiming Guo, Wangqiu Zhou, Xing Guo, Xiaoyan Wang
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引用次数: 1

Abstract

In recent years, multiple-input multiple-output (MIMO) technology has been imported into magnetic resonance coupled (MRC) enabled wireless power transfer (WPT) systems for concurrent charging of multiple devices. Besides the traditional performance optimization methods (e.g., TX current scheduling, system frequency adjustment, etc.), receiver (RX) grouping will also severely influence the achieved power- delivered-to-load (PDL). In this paper, we investigate the optimal RX grouping issue to maximize the proportional fairness of RX achieved PDL, which is a joint optimization problem involving RX grouping and time-slice allocation among groups. By decoupling the problem, we solve the group generation sub-problem with a impedance-matching based greedy algorithm to generate potential RX group candidates, and we further solve the time slice allocation sub-problem with a genetic algorithm to distribute resources among group candidates. We prototype the proposed system, denoted as IMRG, and conduct extensive experiments to evaluate the performance. The experimental results validate the effectiveness of the proposed algorithm, e.g., IMRG achieves average 59.6% PDL improvement through RX grouping compared to the simultaneous charging scheme.
面向阻抗匹配的MIMO WPT系统接收机分组
近年来,多输入多输出(MIMO)技术被引入到磁共振耦合(MRC)无线电力传输(WPT)系统中,用于多个设备的并发充电。除了传统的性能优化方法(如TX电流调度、系统频率调整等)外,接收机(RX)分组也会严重影响到已实现的功率交付到负载(PDL)。本文研究了使RX达到PDL的比例公平性最大化的最优RX分组问题,这是一个涉及RX分组和组间时间片分配的联合优化问题。通过对问题进行解耦,利用基于阻抗匹配的贪心算法求解群体生成子问题,生成潜在的候选RX群体,并进一步利用遗传算法求解时间片分配子问题,在候选群体之间进行资源分配。我们对所提出的系统进行了原型设计,并进行了大量的实验来评估其性能。实验结果验证了所提算法的有效性,通过RX分组与同步充电方案相比,IMRG平均提高了59.6%的PDL。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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