Coherent Transceivers Using SOA–Comb Architectures for Short-Reach Links Beyond 1 Tb/s
Bibliographic record
Abstract
We investigate power-efficient multi-wavelength coherent transceivers for short-reach optical interconnects targeting 1.2 Tb/s throughput. A single optical frequency comb can be used for both data modulation and distributed local oscillators. This comb-assisted architecture can be combined with integrated semiconductor optical amplifiers (SOAs) and silicon photonic traveling-wave Mach-Zehnder modulators (TW-MZMs). We analyze two configurations for this combination, placing the SOAs either before or after the modulators. Our results show that positioning SOAs after the modulators enhances overall power efficiency, while longer (4 mm) modulators provide superior power handling due to lower total loss while providing a sufficient bandwidth. Furthermore, by adjusting the power-splitting ratio between the data carrier and the distributed local oscillator, the minimum achievable bit error rate (BER) can be tuned in the post-modulation SOA configuration. These findings offer design insights for optimizing coherent multi-wavelength transceivers based on silicon photonics for next-generation intra-datacenter links.
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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 | 0.000 | 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".