Investigating Power Multiplexing for Coherent Microwave Photonic Links
Bibliographic record
Abstract
We propose a new technique to use power multiplexing in a coherent radio-over-fiber (RoF) link to increase the data rate without using additional optical wavelengths. At the transmitter, a continuous-wave (CW) light wave from a laser diode (LD) is modulated by two pairs of power-multiplexed microwave vector signals using a dual-drive Mach-Zehnder modulator (DD-MZM). The optical signal at the output of the DD-MZM is transmitted over a single-mode fiber (SMF) to a coherent receiver, where coherent detection is performed. A digital signal processing (DSP) algorithm is developed to mitigate the phase noise and unstable offset frequency between the transmitter and local oscillator light sources and to de-multiplex the power-multiplexed signals. An experiment is performed. For the transmission of four power-multiplexed vector signals over 10 km of SMF with two 16QAM lower-power signals and two QPSK higher-power signals, all at a carrier frequency of 4 GHz and a baud rate of 0.5 GSym/s, 3.7% error vector magnitudes (EVMs) for the 16QAM signals and 2.5% for the QPSK signals are achieved for a received optical power of -1 dBm. Error-free transmission is achieved.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".