The Impact of Waveform on the Efficiency of Wireless Power Transfer Using Prefabricated Energy Harvesting Device

This paper is dedicated to investigate impact of the usage of different waveforms on the efficiency of wireless power transfer (WPT) to a commercially available energy harvesting device. The investigation is done at sub-GHz frequencies in laboratory conditions. RF energy harvesting device – Powercast P2110B is used for radiofrequency (RF) to direct current (DC) conversion. Four different waveforms are studied: single-tone, multi-tone with low PAPR, random and chaotic oscillations. During the experiments the comparison of average transmitted RF power to average received RF power at harvesting device input is done. Moreover, conversion of the average transmitted and received power at the output of harvesting device into DC power is analyzed.

[1]  Ivan Prudyus,et al.  IEEE International Solid-State Circuits Conference , 2008 .

[2]  Henry Ott,et al.  Electromagnetic Compatibility Engineering , 2009 .

[3]  Gyuhae Park,et al.  RF Energy Transmission for a Low-Power Wireless Impedance Sensor Node , 2009, IEEE Sensors Journal.

[4]  Derrick Wing Kwan Ng,et al.  Simultaneous wireless information and power transfer in modern communication systems , 2014, IEEE Communications Magazine.

[5]  Nuno Borges Carvalho,et al.  Evaluation of simultaneous wireless power transfer and backscattering data communication through multisine signals , 2015, 2015 IEEE Wireless Power Transfer Conference (WPTC).

[6]  Christos Douligeris,et al.  Energy efficiency in wireless sensor networks using sleep mode TDMA scheduling , 2009, Ad Hoc Networks.

[7]  Arturs Aboltins,et al.  The impact of waveform on the efficiency of RF to DC conversion using prefabricated energy harvesting device , 2017, 2017 Advances in Wireless and Optical Communications (RTUWO).

[8]  Apostolos Georgiadis,et al.  RF Energy Harvesting From Multi-Tone and Digitally Modulated Signals , 2016, IEEE Transactions on Microwave Theory and Techniques.

[9]  Anantha P. Chandrakasan,et al.  Dynamic voltage scaling techniques for distributed microsensor networks , 2000, Proceedings IEEE Computer Society Workshop on VLSI 2000. System Design for a System-on-Chip Era.

[10]  Sergejs Tjukovs,et al.  Exploration of possible energy sources for hybrid power system of indoor WSN , 2017, 2017 5th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE).

[11]  Deborah Estrin,et al.  Medium access control with coordinated adaptive sleeping for wireless sensor networks , 2004, IEEE/ACM Transactions on Networking.

[12]  Apostolos Georgiadis,et al.  Boosting the Efficiency: Unconventional Waveform Design for Efficient Wireless Power Transfer , 2015, IEEE Microwave Magazine.

[13]  Nuno Borges Carvalho,et al.  Evaluation of simultaneous wireless power transfer and backscattering data communication through multisine signals , 2015 .

[14]  Mani Srivastava,et al.  Energy-aware wireless microsensor networks , 2002, IEEE Signal Process. Mag..