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Waveform Optimization for Large-Scale Multi-Antenna Multi-Sine Wireless Power Transfer

机译:大规模多天线多正弦无线电波的波形优化   电力传输

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摘要

Wireless power transfer (WPT) is expected to be a technology reshaping thelandscape of low-power applications such as the Internet of Things,machine-to-machine communications and radio frequency identification networks.Although there has been some progress towards multi-antenna multi-sine WPTdesign, the large-scale design of WPT, reminiscent of massive multiple-inputmultiple-output (MIMO) in communications, remains an open problem. Consideringthe nonlinear rectifier model, a multiuser waveform optimization algorithm isderived based on successive convex approximation (SCA). A lower-complexityalgorithm is derived based on asymptotic analysis and sequential approximation(SA). It is shown that the difference between the average output voltageachieved by the two algorithms can be negligible provided the number ofantennas is large enough. The performance gain of the nonlinear model baseddesign over the linear model based design can be large, in the presence of alarge number of tones.
机译:无线电源传输(WPT)有望成为重塑物联网,机器对机器通信和射频识别网络等低功率应用领域的技术。尽管在多天线多天线技术方面已经取得了一些进展。正弦WPTdesign是WPT的大规模设计,让人想起通信中的大规模多输入多输出(MIMO)仍然是一个未解决的问题。考虑非线性整流器模型,基于连续凸逼近法(SCA)推导了一种多用户波形优化算法。基于渐近分析和顺序逼近(SA),推导了一种较低复杂度的算法。结果表明,只要天线数量足够大,两种算法所获得的平均输出电压之间的差异就可以忽略不计。在存在大量音调的情况下,基于非线性模型的设计相对于基于线性模型的设计的性能增益可能很大。

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    Huang, Yang; Clerckx, Bruno;

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  • 年度 2016
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