MétaCan
Menu
Back to cohort
Record W1974531121 · doi:10.1109/tap.2012.2194644

Space Efficiency of Multiple Element Antennas

2012· article· en· W1974531121 on OpenAlexaff
Jane X. Yun, Rodney G. Vaughan

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2012
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsAntenna diversityBandwidth (computing)Computer scienceElectronic engineeringFigure of meritMIMODirectional antennaDiversity gainPerformance metricConformal antennaTopology (electrical circuits)Antenna (radio)TelecommunicationsEngineeringElectrical engineeringSlot antennaBeamforming

Abstract

fetched live from OpenAlex

Multiple element antennas (MEAs) support multiple-input multiple-output (MIMO) communications and other antenna diversity techniques, resulting in better communications performance than available from single antenna systems. The space occupied by MEAs becomes important when the antennas are integrated into small or portable devices, and a metric would be helpful for the design of compact MEAs. A figure of merit for the spatial efficiency is presented here for evaluating the MEA compactness with respect to the MEA bandwidth and the potential communications performance. A spherical volume is used and different propagation scenario models can be incorporated. The impact of element efficiencies, mutual coupling, correlation, diversity scheme, and propagation scenario are included.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.218
Teacher spread0.204 · 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 designSimulation or modeling
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

Citations14
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueIEEE Transactions on Antennas and PropagationSame topicAntenna Design and AnalysisFrench-language works237,207