2D wavelength-time codes for optical code-division multiple access with differential detection
Bibliographic record
Abstract
We investigate the use of differential detection in two-dimensional (2D) wavelength-time Optical Code-Division Multiple Access (OCDMA). We develop and analyze the bit-error-rate (BER) performance for a new family of high-weight 2D codes with relaxed auto- and cross-correlation, which we call balanced codes for differential detection (BCDD), that take advantage of the antipodal signaling strategy enabled by differential detection. We find that BCDD's can effectively be used to implement high-performance 2D wavelength time OCDMA networks. Using an OC-3 transmission rate of 155Mbps, a BCDD system with 32 wavelengths, 41 time-chips and suitable error-control coding can support up to 320 users with bit error rate of 10-9, giving rise to an aggregate capacity of 41Gbps.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.000 | 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".