Gain Optimization by Modulator-Bias Control in Radio-Over-Fiber Links
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Bibliographic record
Abstract
The authors propose a method to optimize the RF gain in narrowband radio-over-fiber links employing a Mach-Zehnder modulator followed by an erbium-doped fiber amplifier (EDFA) for amplification. Optimization is achieved by control of the modulator bias in order to improve the signal optical-modulation depth (OMD). Thus, for a given modulation amplitude, the optical signal has a reduced mean optical power and can access the small signal gain of the EDFA. This unsaturated gain is higher than the saturated one, thereby significantly increasing the RF gain of the link. Simultaneous optimization of OMD is also desirable to reduce detector saturation and fiber-induced nonlinear effects. They derive an analytical expression to describe optimum operating conditions for the modulator bias and validate their results through numerical simulation and experimental work. The proposed optimum modulator operating point is experimentally proven to be applicable to multicarrier signals like those used in 802.11a/g protocols
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
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Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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