Far-Field RF Wireless Power Transfer with Blind Adaptive Beamforming for Internet of Things Devices

Pavan S. Yedavalli, Taneli Riihonen*, Xiaodong Wang, Jan M. Rabaey

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

61 Citations (Scopus)
130 Downloads (Pure)


Wireless power transfer (WPT) has long been one of the main goals of Nikola Tesla, the forefather of electromagnetic applications. In this paper, we investigate radio-frequency beamforming in the radiative far field for WPT. First, an analytical model of the channel fading is presented, and a blind adaptive beamforming algorithm is adapted to the WPT context. The algorithm is computationally light, because we need not explicitly estimate the channel state information. Then, a testbed with a multiple-antenna software-defined radio configuration on the transmitting side and a programmable energy harvester on the receiving side is developed in order to validate the algorithm in this specific power application. From the results, it can be seen that the implementation of this version of beamforming indeed improves the harvested power. Specifically, at various distances from 50 cm to 1.5 m, the algorithm converges with two, three, and four antennas with an increasing gain as we increase the number of antennas. These encouraging results could have far-reaching consequences in providing wireless power to Internet of Things devices, our target application.

Original languageEnglish
Article number7847396
Pages (from-to)1743-1752
Number of pages10
JournalIEEE Access
Publication statusPublished - 2017
MoE publication typeA1 Journal article-refereed


  • beamforming
  • experiments
  • radio-frequency energy harvesting
  • software-defined radios
  • Wireless power transfer


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