MétaCan
Menu
Back to cohort
Record W2519167148 · doi:10.1049/iet-map.2016.0457

Dielectric resonator based MIMO antenna system enabling millimetre‐wave mobile devices

2016· article· en· W2519167148 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIET Microwaves Antennas & Propagation · 2016
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsMillimetre waveAntenna (radio)MIMOExtremely high frequencyDielectric resonatorResonatorMillimeterElectronic engineeringTelecommunicationsAcousticsElectrical engineeringPhysicsComputer scienceOptoelectronicsEngineeringOptics

Abstract

fetched live from OpenAlex

In this study, a millimetre‐wave dielectric resonator (DR)‐based multiple‐input–multiple‐output (MIMO) antenna system based on two linear arrays is presented. Each array that represents a single MIMO antenna consists of four cylindrical DR antenna (cDRA) elements operating at 30 GHz with a bandwidth of at least 1 GHz. Each array is designed with a fixed beam direction which is tilted to provide low field correlation. A passive microstrip‐based feed network was designed to achieve this beam tilting enabling suitable magnitude and phase excitation of the individual cDRAs for radiation. The complete antenna system was designed on a two‐layer substrate occupying 48 mm × 21 mm. Excellent field correlation values were measured (below 0.002) across the band of operation while peak gains were >7 dBi. High radiation efficiency is obtained. The proposed design approach for beam tilting, which enables MIMO operation, may also be useful for other compact implementations to support 5G communications.

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.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.653
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.200
Teacher spread0.190 · 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