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Dual-Band Ten-Element MIMO Array Based on Dual-Mode IFAs for 5G Terminal Applications

Hu, Wei, Liu, Xuekang, Gao, Steven, Wen, Le-Hu, Qian, Long, Feng, Tianxi, Xu, Rui, Fei, Peng, Liu, Ying (2019) Dual-Band Ten-Element MIMO Array Based on Dual-Mode IFAs for 5G Terminal Applications. IEEE Access, 7 . pp. 178476-178485. ISSN 2169-3536. (doi:10.1109/ACCESS.2019.2958745) (KAR id:80232)

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https://doi.org/10.1109/ACCESS.2019.2958745

Abstract

A dual-band ten-element MIMO array based on dual-mode inverted-F antennas (IFAs) for 5G terminal applications is presented in this paper. The proposed dual-mode IFA is composed of two radiators, which are etched on the outer and inner surfaces of the side-edge frame. The outer part of the antenna generates the low-order mode at 3.5 GHz, while the inner part radiates another one-quarter-wavelength mode at 4.9 GHz. In this way, the IFA can achieve dual-band operation within a compact size of 10.6 × 5.3 × 0.8 mm 3 . Based on the proposed antenna, a dual-band ten-element multiple-input and multiple-output (MIMO) array is developed for 5G terminal applications. By combining neutralization line structures with decoupling branches, the isolations between the elements are improved. To validate the design concept, a prototype of the ten-element MIMO array is designed, fabricated, and measured. The experimental results show that the proposed antenna can cover the 3.3-3.6 GHz and 4.8-5.0 GHz bands with good isolation and high efficiency. Furthermore, the envelope correlation coefficient (ECC), and channel capacity are also calculated to verify the MIMO performances for 5G sub-6GHz applications.

Item Type: Article
DOI/Identification number: 10.1109/ACCESS.2019.2958745
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Steven Gao
Date Deposited: 25 Feb 2020 16:11 UTC
Last Modified: 16 Feb 2021 14:11 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/80232 (The current URI for this page, for reference purposes)
Gao, Steven: https://orcid.org/0000-0002-7402-9223
Wen, Le-Hu: https://orcid.org/0000-0001-9757-1114
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