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Record W4401880648 · doi:10.1109/temc.2024.3445292

Triple Bandstop 2.5D Frequency Selective Surface for Sub-6 GHz 5G Communication

2024· article· en· W4401880648 on OpenAlexaff
Kanishka Katoch, Naveen Jaglan, Binod Kumar Kanaujia, Pai‐Yen Chen, Ahmed A. Kishk

Bibliographic record

VenueIEEE Transactions on Electromagnetic Compatibility · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsConcordia University
Fundersnot available
KeywordsTunable metamaterialsOptoelectronicsSelective surfaceElectronic engineeringPhysicsComputer scienceTelecommunicationsMaterials scienceEngineeringMetamaterial

Abstract

fetched live from OpenAlex

The design of a miniaturized triple bandstop frequency selective surface (FSS) is presented for 5th generation (5G) communication systems. Meander lines in a spiral shape have been etched on the top and bottom of a dielectric substrate. To increase the electrical length of the FSS, the spirals are interconnected using four vias at the edges. The proposed design with a 5.2 × 5.2 mm2footprint exhibits a triple bandstop response at sub-6 GHz frequency bands NR n46, LTE 42/LTE43, and LTE 46. The design is simple and cost-effective. As a miniaturized structure with rotational symmetry, it manifests polarization-independent characteristics with a stable frequency response for normal and oblique incident angles up to 84° (simulated) and 60° (measured). The transmission characteristics are verified using simulation and experiments. The proposed design can be used to shield 5G operational 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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.247
Teacher spread0.230 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueIEEE Transactions on Electromagnetic CompatibilitySame topicAdvanced Antenna and Metasurface TechnologiesFrench-language works237,207