Evidence map›Paper›PMID 39627302›Full record

ArticleScientific reports2024

Enhancing wireless applications through reconfigurable electro-mechanical reflectarray antenna design for beam steering.

Behrokh Beiranvand, Rashid Mirzavand

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Behrokh BeiranvandDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 1H9, Canada. beiranva@ualberta.ca.
Rashid MirzavandDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 1H9, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing interest in reconfigurable intelligent surfaces (RIS) for wireless communications is evident, particularly in addressing challenges beyond the normal incidence condition of electromagnetic waves. This paper introduces an innovative approach to achieve beam steering in reflecting-type array structures, specifically reflectarrays, through the use of Reconfigurable Electro-Mechanical Reflectarray (REMR) technology. The REMR structure, equipped with a cam-shaped actuator beneath each unit cell's ground plane, serves as the basis for this design. The proposed design involves multiple reflective strips at variable heights, enabling significant adaptability to incident waves at various angles. By incorporating a cam-shaped actuator beneath the ground plane of each unit cell, a mechanical phase shifter acts as a continuous modifier of phase for incident waves, resulting in the realization of the REMR effect. The REMR structure demonstrates consistent phase and amplitude responses, facilitating efficient beam steering. Simulation and measurement results show a remarkable unwrapped phase shift range of [Formula: see text] and beam steering over a broad spectrum of incidence angles from [Formula: see text] to [Formula: see text]. Additionally, the REMR structure maintains stability even when powered off in the "defined gradient mode" due to a memory function preserving gradient states. The fabrication process utilizes 3D printers, offering flexibility and ease of customization. This comprehensive approach holds significant potential for advancing RIS technologies.

Indexed as

5GAntenna arraysBeam steeringReconfigurable electro-mechanical reflectarray (REMR)Reconfigurable intelligent surfacesReflectarray

Identifiers

PMID39627302
PMCPMC11614874

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.