Adaptive digital predistortion of laser diode nonlinearity for wireless applications
Why this work is in the frame
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Bibliographic record
Abstract
Nonlinearity of a directly modulated laser diode imposes limitations in the performance of fiber based wireless access schemes. Previously, laser diode nonlinearity has been investigated in CATV related applications. In the CATV scenario, analog optoelectronic compensation schemes have been widely attempted due to the analog nature modulating signals. However, fiber based wireless schemes provide a unique opportunity for digital compensation. In this scenario, although the modulating signal is analog radio signal at several GHz, the information is conveyed through baseband digital symbols that have few Mbps bit rate. The nonlinear distortion of the laser, therefore, reflects on the amplitude and phase distortion of these vector modulated baseband information sequence and, correcting these distortions at baseband symbol rate is adequate. This fact is used in this paper to attempt an adaptive digital predistortion for wireless applications.
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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