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    Fully printed 3D cube-shaped multiband fractal rectenna for ambient RF energy harvesting

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    Type
    Article
    Authors
    Bakytbekov, Azamat cc
    Nguyen, Thang Q.
    Huynh, Cuong
    Salama, Khaled N. cc
    Shamim, Atif cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2018-09-13
    Online Publication Date
    2018-09-13
    Print Publication Date
    2018-11
    Permanent link to this record
    http://hdl.handle.net/10754/630531
    
    Metadata
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    Abstract
    The Internet of Things (IoT) is an emerging paradigm that requires billions of wirelessly connected devices in a complex radio-frequency (RF) environment. With such a huge number of devices in this scenario, recharging or replacing batteries becomes impractical. Therefore, powering IoT devices by harvesting energy from ambient sources, such as that available in the RF spectrum, is an attractive solution. The antenna for the RF energy harvester must work on multiple bands to capture as much power as possible. This paper presents a fully printed 3D cube triple band Cantor fractal rectenna based on the system-on-package (SoP) concept; the antenna is realized on the package that houses a rectifier circuit and a multiband matching network. The combination of additive manufacturing and SoP ensures a lower cost and the efficient use of available space. The rectenna harvests RF power from GSM900, GSM1800, and 3 G 2.1 GHz frequency bands. Field tests of the RF energy harvester conducted in a real ambient environment confirm that up to 200 mV output voltage can be harvested. Also, 550 mV is harvested when the rectenna is near a smartphone during a live phone call. The promising results and lower cost make this design a suitable candidate to power IoT devices.
    Citation
    Bakytbekov A, Nguyen TQ, Huynh C, Salama KN, Shamim A (2018) Fully printed 3D cube-shaped multiband fractal rectenna for ambient RF energy harvesting. Nano Energy 53: 587–595. Available: http://dx.doi.org/10.1016/j.nanoen.2018.09.022.
    Sponsors
    Research reported in this publication was supported by the King Abdullah University of Science and Technology (KAUST). Special thanks goes to Esraa Fakeih who helped in collecting power measurement data in the KAUST campus.
    Publisher
    Elsevier BV
    Journal
    Nano Energy
    DOI
    10.1016/j.nanoen.2018.09.022
    Additional Links
    https://www.sciencedirect.com/science/article/pii/S2211285518306669
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.nanoen.2018.09.022
    Scopus Count
    Collections
    Articles; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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