Analysis and implementation of a two-dimensional wavelength-time optical code-division multiple-access system
Bibliographic record
Abstract
The development and growth of new communication services and emerging applications requires high-performance access networks capable of providing high-bandwidth interconnections to end-users. In recent years, optical code-division multiple access (OCDMA) has been proposed as a means for providing flexible access to high-bandwidth applications and offering different levels of quality of service. This thesis explores the impact of encoder/decoder mismatch on system performance for 2 dimensional wavelength-time (2D lambda-t) OCDMA and the implementation of a multi-user 2D lambda-t OCDMA direct detection demonstrator system. Our analysis and experimental demonstrations are based on depth-first search codes (DFSCs) which have previously been shown to be attractive in OCDMA applications. We have developed an OCDMA system simulation model that quantifies the BER performance as wavelength and/or time misalignments (which cause mismatch in the encoder/decoder) increase. Furthermore, we have succeeded in encoding and decoding DFSCs as well as in demonstrating a 4-user system which has been implemented using standard commercially available off-the-shelf optical components.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".