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Record W4400975575 · doi:10.1109/jlt.2024.3433441

Future G Metasurface Antenna Using Dual Axis Galvo Scanner for Free Space Optical Control

2024· article· en· W4400975575 on OpenAlexaff
Asif Bilal, Abdul Quddious, Marco A. Antoniades, Atsushi Kanno, Pham Tien Dat, Tetsuya Kawanishi, Stavros Iezekiel

Bibliographic record

VenueJournal of Lightwave Technology · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsToronto Metropolitan University
FundersEuropean Regional Development Fund
KeywordsOpticsFree spaceScannerDual (grammatical number)PhysicsAntenna (radio)Optical axisDirectional antennaFree-space optical communicationComputer scienceOptical communicationTelecommunications

Abstract

fetched live from OpenAlex

An optically reconfigurable metasurface antenna for Future G beam steering applications is demonstrated experimentally. Optical reconfigurability is achieved by using photodiode arrays to provide a photovoltage to varactors, which in turn provide the required phase shift to enable beam-steering. Illumination of the photodiodes is provided over free space by using a galvo scanner to deflect a laser beam which is delivered from a high-power laser via a multicore fiber. In addition to delivering power over fiber, the same multicore fiber is also used to deliver a 64-QAM 5G NR signal to the metasurface antenna unit. Measured EVM values ranging from 3% to 5.7% for a beam-steering range of 58° are obtained. The use of a galvo scanner for free space illumination of the metasurface antenna not only eliminates the requirement for on-antenna DC bias networks (thus reducing the system complexity), but also allows greater control over illumination of the photodiode arrays, resulting in continuous beam-steering over 58°.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.524
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.012
GPT teacher head0.252
Teacher spread0.239 · 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 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

Citations3
Published2024
Admission routes1
Has abstractyes

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