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Parabolic Reflector Antenna Design to Generate Pure High Order Vortex Modes at 24 GHz

2023· article· en· W4397000551 on OpenAlexaff
Mohammad Marvasti, Alireza Ghayekhloo, Halim Boutayeb

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsVortexPhysicsOpticsConical surfaceReflector (photography)Antenna (radio)AcousticsTelecommunicationsEngineeringGeometryMathematics

Abstract

fetched live from OpenAlex

Parabolic reflector (PR) antennas are commercially applied to the two Wi-Fi frequencies of 2.4 and 5 GHz in this conference paper. For the generation of vortex waves, a high gain and directive antenna structure is proposed here with PR. It is a unique feature of electromagnetic (EM) waves to have vortex or orbital angular momentum (OAM). OAM technique (known as conical pattern with twisted phase plane) can theoretically increase radio frequency links' capacity and diversity with infinite characteristic mode numbers. On the other hand, it is challenging to implement it in practice due to divergence of pattern and reception quality and capability. Therefore, the PR structure can be considered a promising method to improve the vortex feature of a signal at the generation section. For a long-range dense link, a PR antenna at 24 GHz is designed to address issues related to high order vortex modes (mode 6). This frequency spectrum and other higher frequencies are used to increase the capacity of the backhaul network.

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: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.044
GPT teacher head0.261
Teacher spread0.217 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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