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Optimum Wideband High Gain Analog Beamforming Network for 5G Applications

Title:

Optimum Wideband High Gain Analog Beamforming Network for 5G Applications

Mujammami, Essa H. ORCID: https://orcid.org/0000-0001-8012-6022, Afifi, Islam ORCID: https://orcid.org/0000-0001-6519-0915 and Sebak, Abdelrazik B. ORCID: https://orcid.org/0000-0003-1057-6735 (2019) Optimum Wideband High Gain Analog Beamforming Network for 5G Applications. IEEE Access, 7 . pp. 52226-52237. ISSN 2169-3536

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Official URL: http://dx.doi.org/10.1109/ACCESS.2019.2912119

Abstract

A broadband high-gain millimeter-wave (mmWave) array beamforming network (BFN) design, analysis, and implementation based on the Rotman lens antenna array feeding are presented. The BFN is intended for operation in the (26-40) GHz frequency band for a wide range of potential applications in the fifth generation (5G). The system is made on Rogers substrate, RO6010, to provide compatibility with standard planar low-cost processing techniques for millimeter-wave monolithic integrated circuit (MMIC). The measured results show the system capability of 80° beam scanning for different angles at -39.7°, -26.5°, -13.3°, 0°, +13.3°, +26.5°, and +39.5° at 28 GHz. With these features in addition to being compact size, low profile, and lightweight, this BFN is suitable for various millimeter-wave and 5G applications such as the advanced multi-in multi-out (MIMO) systems, remote sensing, and automotive radar.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Article
Refereed:Yes
Authors:Mujammami, Essa H. and Afifi, Islam and Sebak, Abdelrazik B.
Journal or Publication:IEEE Access
Date:2019
Funders:
  • Concordia Open Access Author Fund
Digital Object Identifier (DOI):10.1109/ACCESS.2019.2912119
Keywords:5G antenna, automotive radar, beamforming, beam-switching, high gain, quasi-Yagi, remote sensing, Rotman lens
ID Code:986099
Deposited By: KRISTA ALEXANDER
Deposited On:13 Nov 2019 22:12
Last Modified:13 Nov 2019 22:12

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