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Record W2989771277 · doi:10.1109/5gwf.2019.8911644

A Compact End-Fire Slotted SIW Antenna Array for 5G Mobile Handset

2019· article· en· W2989771277 on OpenAlexaff
Maryam Faizi Khajeim, Gholamreza Moradi, Reza Sarraf Shirazi, Pedram Mousavi, Mojtaba Sohrabi, Kambiz Jamshidi, Dirk Plettemeier

Bibliographic record

Venue2019 IEEE 2nd 5G World Forum (5GWF) · 2019
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHandsetAntenna efficiencyRadiation patternAntenna (radio)RadiationOmnidirectional antennaAntenna gainBandwidth (computing)Computer scienceElectrical engineeringEngineeringTelecommunicationsOpticsPhysics

Abstract

fetched live from OpenAlex

This paper presents a 28-GHz slotted substrate integrated waveguide (SIW) antenna with end-fire radiation pattern for future 5G mobile handset. A pair of transverse slots is used in the broad faces to suppress back lobe radiation. The simulated 10-dB return loss bandwidth of the proposed SIW antenna is 26.9 GHz to 29.8 GHz. The proposed antenna achieves HPBW of 144.9° and gain of 5 dB with 98.8 % radiation efficiency. In comparison with open ended SIW front to back radiation ratio is increased up to 40 dB in this antenna. In order to achieve full spherical coverage, two beam steerable 4×1 subarrays could be employed in the top and bottom edges of the handset. The compactness, low cost and good performance of the proposed antenna make it an appropriate choice for the future 5G mobile handset.

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 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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.007
GPT teacher head0.215
Teacher spread0.208 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations9
Published2019
Admission routes1
Has abstractyes

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