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Substrate Integrated Coaxial Line Fed Magneto-Electric Dipole Antenna for 5G

2021· article· en· W4212953049 on OpenAlexafffund
Aditya Singh, Carlos E. Saavedra

Bibliographic record

Venue2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI) · 2021
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhysicsTopology (electrical circuits)StereochemistryElectrical engineeringChemistryEngineering

Abstract

fetched live from OpenAlex

A magneto-electric (ME) dipole antenna employing substrate integrated coaxial line (SICL) feed is proposed. The antenna utilizes four via-wall shorted patches on the top ground plane of SICL structure to obtain magneto-electric operation. Further, the bottom ground plane and SICL via-wall are used as cavity to improve the gain and front to back ratio (FBR). Full-wave simulations show that the antenna exhibits a fractional impedance bandwidth (IBW) of 28.7% with$\mathbf{f_{0}=29.84}$GHz with peak realized gain$\mathbf{6.83\pm 0.5\text{dBi}}$and FBR$\mathbf{> 16\text{dB}}$. The radiation antenna efficiency$\geq 95\%$. It is designed on Rogers 5870$(\epsilon_{r}$= 2.33,$\tan\delta=\boldsymbol{0.0012})$and measures$\mathbf{0.515\lambda_{0}^{2}}$at$\mathbf{f_{0}=29.84}$GHz.

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 score0.003
Threshold uncertainty score0.009

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)0.0030.002

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 head0.014
GPT teacher head0.244
Teacher spread0.230 · 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

Citations1
Published2021
Admission routes2
Has abstractyes

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