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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19MBMujammami2-IEEE Access-2019.pdf - Published Version Available under License Spectrum Terms of Access. |
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: |
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| 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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