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Record W2157480020 · doi:10.1109/tvt.2009.2037884

A Compact Dual-Port Diversity Antenna for Long-Term Evolution Handheld Devices

2009· article· en· W2157480020 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

VenueIEEE Transactions on Vehicular Technology · 2009
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsBlackberry (Canada)
Fundersnot available
KeywordsAntenna diversityAntenna (radio)Mobile deviceElectronic engineeringLink budgetComputer scienceWirelessDiversity gainElectrical engineeringEngineeringTelecommunicationsMIMO

Abstract

fetched live from OpenAlex

A compact integrated dual-port diversity antenna is presented, which is suitable for long-term evolution (LTE) and wireless fidelity (Wi-Fi) applications in handheld devices. The antenna design merges two planar inverted F-shaped antennas (PIFAs) into a single-antenna structure that not only occupies less volume in a handheld device but also eliminates the need to separate two individual antenna elements, which provides further space-saving efficiency. This can be accomplished even while maintaining desirable isolation and diversity characteristics. The proposed design can thus be utilized in compact wireless handheld communication devices that require signal diversity. An example design is described for 2.6-GHz LTE/Wi-Fi bands (2.5-2.7 GHz), which has been implemented in real-world cellular phone environments and include interactions between the antenna, other components of the device, and a model of a human head (the specific anthropomorphic mannequin phantom). The simulated and experimental results, including S-parameters, radiation patterns, signal correlations, and mean effective gain values, have validated the proposed antenna design as useful for compact mobile devices.

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 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 score0.797
Threshold uncertainty score0.830

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 head0.013
GPT teacher head0.226
Teacher spread0.213 · 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