Measurement of optical impairments in OFDM based radio-over-fiber communication systems
Bibliographic record
Abstract
Radio-over-Fiber (RoF) technology allows radio frequency transmission directly over the fiber. Optical link employs laser, optical fiber and optical detector to transmit RF signal. RoF has an ability to carry signals for tens of kilometers, but this transmission is limited by optical impairments such as laser nonlinearity, fiber dispersion, and optical detector noises. In this paper, we study the effects of multimode fiber core refractive index profile, optical detector noises and atmospheric instability on the achievable performance of an OFDM based RoF link. The optical-signal-to-noise ratio (OSNR) and cumulative signal-to-noise ratio (SNRc) are used to evaluate the feasibility of the proposed scheme for a low-cost, reliable, robust, and high data rate fiber-wireless link. Thereafter, numerical results are generated for the downlink to illustrate the performance of the OFDM based RoF system.
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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 | 0.002 |
| 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 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".