A Novel Multi-band CO-OFDM based Long Reach Passive Optical Network Architecture
Bibliographic record
Abstract
The thesis investigates a new long-reach passive optical networks (LRPON) architecture based on multi-band coherent optical orthogonal frequency division multiplexing (CO-OFDM). The proposed CO-OFDM based LRPON system is characterized by a novel phase noise compensation mechanism aiming to deal with optical signal dispersion in long-range transmissions. By employing a dispersion compensating fiber (DCF) and local oscillator (LO) laser phase shifter for each end-to-end transmission between OLT and ONU, we will show the phase noise due to dispersion can be effectively mitigated. Simulation of the downlink traffic between one optical line terminal (OLT) and 12 optical network units (ONUs) is performed successfully at different fiber lengths, at the data rate of 10$Gbps$ per ONU. The required BER for the forward error correction (FEC) has been achieved for most ONUs, using a dispersion compensating fiber (DCF) and local oscillator (LO) laser phase shifter to compensate for the chromatic dispersion (CD) and the polarization mode dispersion (PMD), respectively.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".