A 20 Gb/s CMOS Optical Receiver With Limited-Bandwidth Front End and Local Feedback IIR-DFE
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Implementation of highly integrated optical receivers in CMOS promises low cost, but combining high gain, low noise, high bandwidth, and low power in a CMOS transimpedance amplifier is a challenge. Fortunately, the sensitivity of an optical receiver is improved by limiting its frontend bandwidth far below the symbol rate and using equalization to eliminate the resulting intersymbol interference (ISI). Analysis reveals that when using a decision-feedback equalizer (DFE) to cancel all postcursor ISI, receiver sensitivity is optimized by taking a front-end bandwidth as low as 0.12 fbit, depending upon the frequency response and noise spectrum assumed for the front end. This paper presents a 20 Gb/s optical receiver with a front-end bandwidth of 3 GHz. The front end is designed to have an approximately first-order response, ensuring only postcursor ISI, which may be efficiently canceled with a first-order infinite-impulse response DFE (IIR-DFE). An IIR-DFE circuit is also proposed that obviates the need for an explicit full-rate multiplexor. Fabricated in 65 nm CMOS, the receiver achieves 0.705 pJ/b efficiency with the IIR-DFE consuming 150 fJ/b. Using a photodiode with 12 GHz analog bandwidth and responsivity of 0.5 A/W, the receiver has a sensitivity of -5.8 dBm optically modulated amplitude.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| 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 it