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    A low profile antenna for millimeter-wave body-centric applications

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    Authors
    Ur-Rehman, Masood
    Malik, Nabeel A.
    Yang, Xiaodong
    Abbasi, Qammer Hussain
    Zhang, Zhiya
    Zhao, Nan
    Affiliation
    University of Bedfordshire
    Xidian University
    University of Glasgow
    Issue Date
    2017-05-03
    Subjects
    remote health monitoring
    5G
    millimeter-wave (mm-Wave)
    body-centric applications
    
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    Abstract
    Millimeter-Wave (mm-Wave) frequencies are a front runner contender for the next generation body-centric wireless communications. In this paper, the design of a very low-profile antenna is presented for body-centric applications operating in the mm-Wave frequency band centered at 60 GHz. The antenna has an overall size of 14 × 10.5 × 1.15 mm3 and is printed on a flexible printed circuit board. The performance of the antenna is evaluated in off-body, on-body, and body-to-body communication scenarios using a realistic numerical phantom and verified through measurements. The antenna has a bandwidth of 9.8 GHz and offers a gain of 10.6 dBi in off-body (free space) configuration, while 12.1 dBi in on-body configuration. It also achieves an efficiency of 74% in off-body and 63% in on-body scenario. The small and flexible structure of the antenna along with excellent impedance matching, broad bandwidth, high gain, and good efficiency makes it a suitable candidate to attain simultaneous data transmission/reception at mm-Wave frequencies for the 5G body-centric applications.
    Citation
    Ur-Rehman M, Malik N, Yang X, Abbasi Q, Zhang Z, Zhao N (2017) 'A low profile antenna for millimeter-wave body-centric applications', IEEE Transactions on Antennas and Propagation, 65 (12), pp.6329-6337.
    Publisher
    Institute of Electrical and Electronics Engineers Inc.
    Journal
    IEEE Transactions on Antennas and Propagation
    URI
    http://hdl.handle.net/10547/624278
    DOI
    10.1109/TAP.2017.2700897
    Additional Links
    https://ieeexplore.ieee.org/document/7918602
    Type
    Article
    Language
    en
    ISSN
    0018-926X
    ae974a485f413a2113503eed53cd6c53
    10.1109/TAP.2017.2700897
    Scopus Count
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    Computing

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