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Record W4415443956 · doi:10.1109/jiot.2025.3624324

Cost-Effective 3-D-Printable Polarization Reconfigurable Antenna for Millimeter-Wave Smart IoT Applications

2025· article· W4415443956 on OpenAlexaff
Farooq Faisal, Moein Noferesti, Yasar Amin, Mohamed Chaker, Tarek Djerafi

Bibliographic record

VenueIEEE Internet of Things Journal · 2025
Typearticle
Language
FieldEngineering
TopicMillimeter-Wave Propagation and Modeling
Canadian institutionsInstitut National de la Recherche ScientifiqueUniversité du Québec à Montréal
Fundersnot available
KeywordsReconfigurable antennaPolarization (electrochemistry)Impedance matchingCircular polarizationMicrostrip antennaLinear polarizationMicrostripDielectricElectrical impedance

Abstract

fetched live from OpenAlex

Polarization reconfigurable antennas (PRAs) benefit Internet of Things (IoT) applications as they can adapt their polarization to enhance signal strength, minimize interference, and ensure efficient communication in diverse environments. However, most PRAs in existing literature utilize microstrip technology and PIN diodes for polarization reconfiguration, which perform well at lower frequencies. When adapting these designs for millimeter-wave (mm-wave) frequencies, several challenges arise. Therefore, a novel ferromagnetic-based PRA is introduced in the mm-wave spectrum for smart IoT applications for the first time. Circular polarization (CP) is achieved by creating two perpendicular electric fields (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">E<sup>x</sup></i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">11</sub> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">E<sup>y</sup></i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">11</sub>) by the incidence of the linear polarized fields rotated at an angle of 45° relative to the dual-image-dielectric-guide (DIDG). The antenna incorporates a DIDG supporting both <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">E<sup>x</sup></i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">11</sub> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">E<sup>y</sup></i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">11</sub> modes with identical cut-off frequencies, two ferrite pillboxes (FPs), a matching taper for impedance matching, and a tapered dielectric rod for radiation. The FPs facilitate the polarization control. Each FP interacts with the corresponding propagating mode along its axis, enabling the antenna to reconfigure itself between CP and linear polarization (horizontal or vertical polarization). The degree of interaction depends on the magnetic bias and the distance of the pillbox from the dielectric rod. The proposed technique combines the peculiar attributes of the DIDGs with the ferrite characteristics to develop a novel PRA. The PRA requires a small magnetic bias due to its dependency on the applied magnetic field direction. Moreover, the antenna can be manufactured using only a 3-D printer and copper tape, resulting in a cost-effective production process. Owing to its simple structure, lower cost, and control over polarization, the proposed PRA could be an attractive option for future smart mm-wave IoT systems.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.946
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.278
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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