Wavelength Reuse in a Symmetrical Radio Over WDM-PON Based on Polarization Multiplexing and Coherent Detection
Bibliographic record
Abstract
A symmetrical radio over a colorless wavelength-division multiplexing passive optical network with wavelength reuse based on polarization multiplexing and coherent detection incorporating digital phase noise cancellation is proposed and experimentally demonstrated. For the downlink, two optical signals are intensity modulated by two different 16-QAM downstream microwave vector signals that are polarization multiplexed at the optical line terminal (OLT). Then, the two orthogonally polarized optical signals are transmitted to the optical network unit (ONU). At the ONU, one of the two orthogonally polarized optical signals is selected to be reused for the uplink transmission. Then, the reused optical signal is split into two channels by a 3-dB coupler. One portion of the reused optical signal is phase modulated by a 16-QAM upstream microwave vector signal, while the other portion is intensity modulated by another 16-QAM upstream microwave vector signal. Again, the two portions of the optical signals are polarization multiplexed and transmitted back to the OLT. At the OLT, a coherent receiver with a digital signal processing (DSP) unit is used to detect the upstream optical signals. Two DSP algorithms are developed to recover the two 16-QAM upstream microwave vector signals. The transmission of two 2.5-Gb/s 16-QAM downstream microwave vector signals and two 2.5-Gb/s 16-QAM upstream microwave vector signals over a 10.5-km single-mode fiber is experimentally demonstrated. The error vector magnitudes for both the down and upstream transmissions are measured to be 7.3% and 8.65%, which are good enough to achieve error-free transmission with forward error correction.
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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 | 0.001 |
| Open science | 0.001 | 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".