A Power-Proportional, Dual-Bandwidth, and Constant-Delay Receiver Front-End for Energy-Efficient Dual-Rate Optical Links
Bibliographic record
Abstract
This article presents a dual-bandwidth front-end (FE) for a rapidly reconfigurable dual data rate and power-proportional optical receiver. The proof-of-concept receiver FE is capable of operation at 8- and 4-Gb/s data rates. Implemented in 65-nm CMOS technology, the proposed FE consists of a shunt-feedback transimpedance amplifier (TIA), a configurable one-stage-to-three-stage postamplifier (PA), and an offset compensation (OC) loop. By reconfiguring the number of stages in the PA, the FE maintains a near-constant delay when its bandwidth is changed. This allows synchronization to be maintained, with limited bit errors when the target data rate is switched. The prototype receiver was measured with an optical input at 8 and 4 Gb/s. The overall FE dissipates 6.12 mW at 8 Gb/s (0.76 pJ/bit) and 2.86 mW at 4 Gb/s (0.72 pJ/bit). The measured receiver optical sensitivities for 8- and 4-Gb/s inputs at high-bandwidth (HBW) and low-bandwidth (LBW) modes are −7.7 and −9.8 dBm, respectively. The measurement results confirm the matched delay through the FE with delay variations within 8 ps.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".