Periodic GATE Optimization (PGO) in Long-Reach Passive Optical Networks
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, we propose a bandwidth allocation service for using the Multi-Point Control Protocol (MPCP) in Long-Reach Passive Optical Networks. We modify and enhance the previously proposed Multi-Thread Polling and call it Periodic GATE Optimization (PGO). The challenge in Long-Reach PON is the long distance between the OLT and the ONUs which is 100 km here. Polling each ONU with multiple threads running in parallel is adopted from multi-thread polling. PGO periodically takes the snapshot of the network and forms an ILP model to estimate the appropriate GATE credits of the overloaded ONUs for the next period. The simulation results show that PGO leads to a lower delay and shorter queue length while keeping the packet loss at a low level.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it