Adaptive Performance Improvement of OFDM Radio over Fiber Systems
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Bibliographic record
Abstract
Nonlinear distortion due to large peak to average power ratio is a major concern with OFDM systems. In this paper, we present an efficient adaptive modulation technique to mitigate nonlinear distortion effects of OFDM radio signals transmitted over optical fiber (radio-over-fiber: ROF). First, we modulate all subcarriers at primary (high) level. Then we identify the subcarriers with high distortion and appropriately reduce the modulation level on those subcarriers to secondary levels. This is done at the transmitter side for each OFDM symbol. This procedure is repeated until the nonlinear distortion is below a predetermined threshold. This technique is shown to improve the BER performance considerably while the reduction in data rate for a system with 64 subcarriers and 16 QAM as primary and 4 QAM as secondary modulation levels is around 4%.
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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