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Record W1879651447 · doi:10.1109/icwc.1992.200727

A mobile base station phased array antenna

2003· article· en· W1879651447 on OpenAlexaff
Cameron Alakija, S.P. Stapleton

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsOmnidirectional antennaDirectional antennaBase stationAntenna (radio)Collinear antenna arrayReflective array antennaConformal antennaComputer scienceInterference (communication)Antenna arrayPhased arraySmart antennaBeamformingDipole antennaElectrical engineeringAcousticsChannel (broadcasting)PhysicsTelecommunicationsEngineeringSlot antenna

Abstract

fetched live from OpenAlex

A mobile communications base station antenna, which utilizes a cylindrical array design, is presented. A scanning antenna beam can be achieved by arranging a number of travelling wave patch antennas in a cylindrical array configuration. Using a switching matrix, different subsets of antenna elements, in the array, can be excited, thus producing a narrow steerable beam. Narrow scanning beams allow these base station antennas to retain both the high gain characteristic of directional antennas as well as the multidirectional characteristic of omnidirectional antennas. For a given transmit power such base station antennas can broadcast greater distances while still being able to communicate with users in a 360 degrees radius (at different time intervals). An alternative perspective is that scanning antennas can be placed in much closer proximity with the same co-channel interference. This decrease in cell size means that a larger number of mobile users can be concentrated in a smaller area without increasing spectrum allocation.>

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.010

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 head0.216
Teacher spread0.206 · 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

Citations11
Published2003
Admission routes1
Has abstractyes

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