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Record W3046126219 · doi:10.1109/lssc.2020.3012916

56/28-Gb/s PAM4/PAM2 Impedance-Modulated Transmitter Enabling 44-dB/58-dB Loss Compensation at 14 GHz in a 7-nm FinFET Transceiver

2020· article· en· W3046126219 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Solid-State Circuits Letters · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsHuawei Technologies (Canada)
Fundersnot available
KeywordsTransmitterTransceiverCompensation (psychology)Multi-mode optical fiberElectrical engineeringElectrical impedanceChannel (broadcasting)Electronic engineeringModulation (music)Computer scienceOutput impedanceTelecommunicationsPhysicsWirelessAcousticsEngineeringOptical fiber

Abstract

fetched live from OpenAlex

This letter reports a 56-Gb/s PAM4, 28-Gb/s PAM2 transmitter that utilizes impedance modulation to implement pre-emphasis postcursor and precursor and low impedance postcursor modes. Implemented as part of a 7-nm FinFET transceiver, the multimode impedance modulated transmitter can compensate for 44- dB/58-dB channel loss in PAM4/PAM2 which is the highest loss compensation reported to date @56 Gbps. The transmitter achieves an impressive figure-of-merit of 0.86-pJ/bit per volt of differential output swing and surpasses its current mode logic based counterpart by a wide margin in terms of power and performance.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.236
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it