Burst-mode clock and data recovery with FEC for passive optical networks
Bibliographic record
Abstract
Optical multiaccess networks, and more specifically passive optical networks (PONS) are considered to be one of the most promising technologies for deploying fiber-to-the-building/home/curb (FTTx). PONs are expected to solve the problem of limited bandwidth, the so called "first and last mile problem", that remains the bottleneck between the backbone network and high-speed local area networks (LANs). PONs provide a low-cost solution and a guaranteed quality of service (QoS) to enable new multimedia services. In a PON, multiple users share the fiber infrastructure in a point-to-multipoint (P2MP) network topology. This is in contrast to current access technologies, including DSL, VDSL, and cable, which use a point-to-point (P2P) network topology. The P2MP nature of networks introduces optical path delays which inherently cause the data packets to undergo amplitude, phase, and frequency variations - burst, mode trafic. This consequently creates new challenges for the design of optical receivers.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".