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Record W2508520221 · doi:10.1109/jssc.2016.2593004

55-nm SiGe BiCMOS Distributed Amplifier Topologies for Time-Interleaved 120-Gb/s Fiber-Optic Receivers and Transmitters

2016· article· en· W2508520221 on OpenAlexafffund
James Hoffman, Stefan Shopov, P. Chevalier, Andreia Cathelin, Peter Schvan, Sorin P. Voinigescu

Bibliographic record

VenueIEEE Journal of Solid-State Circuits · 2016
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsCiena (Canada)University of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiCMOSDistributed amplifierAmplifierElectrical engineeringTransceiverBandwidth (computing)SwingElectronic engineeringDifferential amplifierComputer scienceCMOSTopology (electrical circuits)PhysicsVoltageEngineeringTransistorTelecommunications

Abstract

fetched live from OpenAlex

Two distributed circuits based on MOS-HBT cascodes are reported in a 55-nm SiGe BiCMOS technology and are aimed at a single-chip time-interleaved transceiver for future 1-Tb/s optical links. The first, a DC-135-GHz single-ended distributed amplifier (DA) was optimized for low noise, linear receivers, and has a measured noise figure (NF)ppof linear input range, and 8.5 dB gain. Operation was confirmed with PRBS-31 eye diagram measurements up to 120 Gb/s. Additionally, a novel time-interleaved distributed power DAC test circuit was implemented as a proof-of-concept to investigate the maximum achievable output bandwidth at a differential output voltage swing of 6 Vpp, as needed to directly drive an optical modulator. Simulations of the doubly segmented 6-bit DAC show 4-PAM output eye diagrams at up to 120 GBaud. The measured clock-input-to-data-output small-signal bandwidth is 65 GHz. When the DAC is measured as a switching large-swing driver, the differential output voltage swing remains larger than 5.4 Vppbeyond 50 Gb/s. Time interleaving of 4 thermometer MSBs is demonstrated experimentally to form a 1.8-Vppdifferential, 10-GBaud 3-PAM output signal. The experimental sampling rate is limited to 10 GS/s by the capacitance and bandwidth of the low-frequency probes and pads used for the data lanes.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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

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 head0.016
GPT teacher head0.234
Teacher spread0.218 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations36
Published2016
Admission routes2
Has abstractyes

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