Alibakhshikenari, Mohammad, Virdee, Bal Singh, Althuwayb, Ayman Abdulhadi, Falcone, Francisco and Limiti, Ernesto (2021) Interaction suppression technique for high-density antenna arrays for mm-wave 5G MIMO systems. In: 15th European Conference on Antennas and Propagation, 22-26 March 2021, Düsseldorf, Germany.
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Abstract / Description
This paper presents the feasibility study of applying a combination of suppression techniques to improve isolation between the radiation elements in high-density antenna arrays and thereby improve the arrays impedance bandwidth and radiation performance. High isolation between adjacent radiation elements was achieved by embedding a crisscrossed decoupling structure comprising slotted microstrip-lines and locating in the ground-plane under each slot a dielectric ring. The proposed periodic array behaves as artificial magnetic conductor (AMC) surfaces as incident waves in the substrate are fully reflected with a near zero degrees reflection phase. The proposed technique suppresses surface-wave propagation. Proof of concept was verified by applying the technique to a 2×4 linear array of triangular radiation patches designed to operate between 30-35 GHz. The array was implemented on a standard the Rogers RT 5880 substrate. Dimensions of the array are 40×20×0.8 mm3. Measurement confirm improvement is the array’s impedance bandwidth, fractional bandwidth, average isolation, radiation gain, and efficiency by 2 GHz, 6.15%, >10 dB, 6.6 dBi, and 29%. The array operates across 30–35GHz with average isolation between its radiation elements better than 23 dB, average gain and efficiency of 12 dBi and 85%, respectively. The technique can be applied to mm-Wave 5G MIMO systems.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | antenna array; interaction suppression techniques; decoupling; artificial magnetic conductor (AMC); high isolation; millimeter-waves; 5G systems; multiple-input multiple-output (MIMO) antenna systems |
Subjects: | 600 Technology > 620 Engineering & allied operations |
Department: | School of Computing and Digital Media |
Depositing User: | Bal Virdee |
Date Deposited: | 04 Feb 2021 09:36 |
Last Modified: | 15 Jan 2022 13:50 |
URI: | https://repository.londonmet.ac.uk/id/eprint/6323 |
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