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Record W2188885372 · doi:10.1109/ecoc.2015.7341640

Information rates for the SP 128-QAM and DP 16-QAM modulation formats

2015· article· en· W2188885372 on OpenAlex
Aazar S. Kashi, John C. Cartledge, Ali Bakhshali, A. Rezania, Ahmed I. Abd El-Rahman, Maurice O’Sullivan, Charles Laperle, A. Borowiec, Kim Roberts

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 Network Technologies
Canadian institutionsCiena (Canada)Queen's University
Fundersnot available
KeywordsQuadrature amplitude modulationBaudQAMComputer scienceModulation (music)Amplitude and phase-shift keyingGigabitSpectral efficiencyTransmission (telecommunications)Electronic engineeringComputer networkBit error rateTelecommunicationsPhysicsDecoding methodsEngineering

Abstract

fetched live from OpenAlex

Information rates for the set-partitioning (SP) 128-QAM and dual-polarization (DP) 16-QAM modulation formats are compared for the same bit rate (256 Gbit/s) and baud rate (32 Gbaud). For 256 Gbit/s transmission over 3600 km, SP 128-QAM offers an increase of 8.2%.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.696
Threshold uncertainty score0.181

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.017
GPT teacher head0.234
Teacher spread0.216 · 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

Quick stats

Citations9
Published2015
Admission routes1
Has abstractyes

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