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Modeling Crosstalk Coefficients in Orbital Angular Momentum-Multiplexed FSO Channels under Gaussian Pointing Errors

2024· article· en· W4400908926 on OpenAlex
Mohammed Elamassie, Maysa Yaseen, Salama Ikki, Murat Uysal

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOptical Wireless Communication Technologies
Canadian institutionsLakehead University
Fundersnot available
KeywordsCrosstalkAngular momentumMultiplexingGaussianOrbital angular momentum multiplexingPhysicsComputer scienceElectronic engineeringOpticsOrbital angular momentum of lightTotal angular momentum quantum numberTelecommunicationsEngineeringClassical mechanicsQuantum mechanics

Abstract

fetched live from OpenAlex

Crosstalk coefficients induced by pointing errors pose a significant challenge in orbital angular momentum (OAM)-multiplexed free space optical (FSO) communication systems. This paper presents a detailed investigation into the impact of Gaussian pointing errors on crosstalk coefficients within OAM-multiplexed FSO channels. Unlike previous studies which primarily focused on fixed strength of pointing error, our analysis encompasses a range of pointing error strengths. We propose closed-form expressions for the probability distribution function (PDF) governing the crosstalk coefficient, accommodating varying pointing error strengths. This analytical framework provides valuable insights into the behavior of crosstalk under different environmental conditions, facilitating the design and optimization of robust OAM-based FSO communication 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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.780

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.019
GPT teacher head0.259
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