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Record W2036776692 · doi:10.1109/lpt.2013.2243722

Experimental Study of the Intra-Channel Nonlinearity Influence on Single-Band 100G Coherent Optical OFDM Systems

2013· article· en· W2036776692 on OpenAlexaff
Qunbi Zhuge, Xian Xu, Mohammad E. Mousa-Pasandi, Mohamed Morsy-Osman, Mathieu Chagnon, Ziad A. El-Sahn, David V. Plant

Bibliographic record

VenueIEEE Photonics Technology Letters · 2013
Typearticle
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsMcGill University
Fundersnot available
KeywordsOrthogonal frequency-division multiplexingGuard intervalMultiplexingNonlinear systemPolarization-division multiplexingChannel (broadcasting)Wavelength-division multiplexingPolarization (electrochemistry)Computer scienceElectronic engineeringOpticsPhysicsTelecommunicationsEngineeringChemistryQuantum mechanics

Abstract

fetched live from OpenAlex

We report on an experimental investigation of the intra-channel nonlinearity effects in single-band 100G coherent optical orthogonal frequency division multiplexing (CO)-OFDM systems. We first show that instead of using traditional single-polarization training symbols (TS's), which suffer from nonlinearity-induced nonuniform phase shifts, correlated dual-polarization TS's should be used in reduced-guard-interval CO-OFDM systems with short symbol durations. Next, we demonstrate that the intra-channel nonlinearity tolerance in CO-OFDM systems can be improved by employing fewer subcarriers for signal generation.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
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
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.209
Teacher spread0.199 · 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

Citations4
Published2013
Admission routes1
Has abstractyes

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