MétaCan
Menu
Back to cohort
Record W4410770574 · doi:10.1109/lawp.2025.3574002

Novel Wideband Reflectarray Antenna Supporting Multiple V2X Links

2025· article· en· W4410770574 on OpenAlexaff
Mustafa K. Taher Al‐Nuaimi, Guan‐Long Huang, Rui‐Sen Chen, Ahmed A. Kishk

Bibliographic record

VenueIEEE Antennas and Wireless Propagation Letters · 2025
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsConcordia University
FundersRoyal Society
KeywordsWidebandComputer scienceAntenna (radio)Directional antennaMicrostrip antennaElectronic engineeringTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

A novel circularly polarized (CP) wideband high gain reflectarray antenna (WHG-RA) is designed to cater to the requirements of future Vehicle-to-Everything (V2X) communication links. The WHG-RA offers a gain bandwidth spanning from 12 to 32 GHz, encompassing crucial V2X frequency bands, including vehicle-to-satellite (V2S) Ku/Ka downlinks and uplinks frequencies (12.25–12.75, 14.0–14.5, 19.6–21.2, and 29.4– 31.0 GHz), the 24.25-26.65 GHz range designated for vehicle-tovehicle (V2V) short-range radars, and all 5G millimeter-wave spectrums, such as n258 (24.25-27.5 GHz) and n257 (26.5-29.5 GHz), intended for vehicle-to-5G networks (V2N) links. The design of the wideband unit cell within the WHG-RA is rooted in a rotational technique grounded in geometric phase theory and has multiple resonances. As a proof-of-concept, a 180 × 180 mm² planar WHG-RA consisting of 900 unit cells is designed, fabricated, and rigorously tested across the 12 – 32 GHz frequency range. Both simulation and measurement results affirm the WHGRA's prowess, showcasing consistent radiation patterns, a commendable peak aperture efficiency (41.1%), a high gain of 30.3 dBi, and side-lobe levels (< −17.2 dB) averaged over 12 to 32 GHz, offering a substantial 3-dB and 4-dB gain bandwidths of 51% and 91%. These outcomes underscore the WHG-RA's potential to augment the performance and reliability of future V2X systems.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.924
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.011
GPT teacher head0.232
Teacher spread0.221 · 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

Citations6
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueIEEE Antennas and Wireless Propagation LettersSame topicAntenna Design and AnalysisFrench-language works237,207