Using Turbo Codes and Non-Gaussian Interference to Improve Spectral Efficiency in M-ary Optical CDMA Networks
Bibliographic record
Abstract
We considers turbo-coded optical CDMA network transmission when single-user detection and single-user decoding are performed at the receiver. We use turbo codes, M-ary optical spreading codes and soft-decision demodulation to achieve very high spectral efficiencies over 0.4 bits per optical CDMA chip. In particular, we consider recently-proposed M-ary OCDMA transmission with non-equiprobable chips. We observe for this approach that the multi-user interference has a strongly reduced and uniquely non-Gaussian structure. Consequently, we propose a novel soft-decision single-user optical CDMA signal detector that takes advantage of this specific interference structure. We also present simulation results of a turbo-coded M-ary OCDMA network transmission that allows above mentioned spectral efficiencies.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".