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Record W4416798051 · doi:10.1109/ojap.2025.3638269

Wideband, Beamsteerable Connected Slotted-Patch Antenna Array for On-Package Millimeter Wave Applications

2025· article· en· W4416798051 on OpenAlexafffund
Md Rasheduzzaman Al-Amin, Elham Baladi, Mohammad S. Sharawi

Bibliographic record

VenueIEEE Open Journal of Antennas and Propagation · 2025
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsPolytechnique Montréal
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of Canada
KeywordsMicrostrip antennaBandwidth (computing)Patch antennaAntenna arrayMicrostripExtremely high frequencyAntenna (radio)Collinear antenna arrayDirectional antenna

Abstract

fetched live from OpenAlex

In this work, a long connected slot is cut out on a proximity-coupled patch antenna plane for the first time. The proposed connected slotted-patch antenna array (CSPAA) is designed, analyzed, fabricated, and measured for on-package millimeter-wave (mmWave) applications having wide beamsteering capabilities. Microstrip lines are used to excite the patch and the connected slot. The CSPAA is designed on a seven-layer vertical stack-up, making it suitable for on-package scenarios. The fabricated CSPAA has a measured bandwidth of 21.07% (centered at 28 GHz) and a measured realized gain of 9.51 dBi at broadside, yielding a total efficiency of 83%. The CSPAA demonstrates wide beamsteering capabilities up to ±390 with a compact form factor of 0.0881λ3 (1.52λ x 0.58λ x 0.1λ), where λ is the free-space wavelength at 28 GHz. A comprehensive comparison of the proposed CSPAA with the state-of-the-art shows that the proposed prototype has excellent bandwidth, gain, wide beamsteering capabilities, and a smaller form factor compared to previous solutions for mmWave on-package applications.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.019
GPT teacher head0.254
Teacher spread0.235 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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 routes2
Has abstractyes

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