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Concentric Circular Array Analysis to Overcome Divergence of Vortex Waves for 70 GHz Frequency Link

2023· article· en· W4386494861 on OpenAlexaff
Alireza Ghayekhloo, Halim Boutayeb, Larbi Talbi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicOrbital Angular Momentum in Optics
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsVortexPhysicsBandwidth (computing)DirectivityCircular polarizationTaperingAcousticsTelecommunicationsComputer scienceOpticsAntenna (radio)Microstrip

Abstract

fetched live from OpenAlex

Orbital angular momentum (OAM) of waves, also known as vortex, offers a promising way to enhance communication link capacity and diversity. One of the advantages of vortex modal communication is that one can use different signal information within a fixed frequency band. There is no need to expand the frequency bandwidth, change the polarization, or wait for a time to transfer two-way communication. However, there is still work to be done before vortex communication can be considered as a potential for the next wireless network. One major issue when generating and receiving vortex high modes is the limitation of signal power level in comparison with normal waves. In this study we propose using different concentric circular array formations to overcome low power amounts for OAM modes. Through the use of a higher directive vortex mode, it is possible to increase the link budget and deal with the physical phenomena of divergence patterns. Different modes of 0, 1, and 2 are considered when tapering the array elements. The achieved directivity values were 23, 20, and 18 dB for 0, 10, and 16° angles. Helix antenna as the basic element is suggested in theory for a 70 GHz backhaul communication link.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
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
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.262
Teacher spread0.248 · 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 designObservational
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

Citations2
Published2023
Admission routes1
Has abstractyes

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