Downstream modulation index tuning to enable full-duplex OOK-DL/OFDM-UL transmission in RSOA-based Radio-over-Fiber system
Bibliographic record
Abstract
In this paper, we investigate the possibility of transmitting full-duplex digital and analog signal in a carrier reused, re-modulating Radio-over-Fiber (RoF) system based on reflective semiconductor optical amplifier (RSOA). We study the effect of tuning the modulation index of the On-Off-Keying Downlink (OOK-DL) signal on its reception performance and the amplitude modulation erasing in RSOA. By properly selecting operating conditions, downlink residual modulation on the reflected optical carrier can be minimized to allow the transmission of a WiFi Orthogonal Frequency Division Multiplexing Uplink (OFDM-UL) signal. We experimentally demonstrate bidirectional transmission over 20km of standard single mode fiber (SSMF) and show an operational region where we can achieve error-free for a 1Gb/s OOK-DL signal while we remain below forward error correction (FEC) threshold for WiFi OFDM-UL using QPSK, 16QAM, and 64QAM modulation modes.
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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 | 0.000 |
| 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) | 0.001 | 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 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".