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Record W2761443731 · doi:10.1109/mwsym.2017.8058965

A wideband millimeter-wave differential stacked-FET power amplifier with 17.3 dBm output power and 25% PAE in 45nm SOI CMOS

2017· article· en· W2761443731 on OpenAlex
Jingjing Xia, Arthur Chung, Slim Boumaiza

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Waterloo
FundersKeysight Technologies
KeywordsAmplifierElectrical engineeringWidebandCMOSExtremely high frequencySilicon on insulatorTransistorPower-added efficiencyBandwidth (computing)TransformerMaterials scienceRF power amplifierOptoelectronicsElectronic engineeringEngineeringVoltageSiliconTelecommunications

Abstract

fetched live from OpenAlex

This paper presents the design of an efficient two-stage m illim eter-wave power amplifier (PA) using stacked field-effect transistors in 45nm silicon-on-insulator (SOI) CMOS technology. It highlights two major issues encountered when designing single-ended multistage PAs at millimeter frequencies (e.g., 60GHz), namely the significant source to ground parasitic inductance and the vulnerability to oscillation at low frequencies. The two-stage differential PA includes input, inter-stage and output matching networks implemented using RF transformers with a high coupling factor and reduced insertion losses. The PA demonstrator showed a 3-dB bandwidth equal to 12GHz (55-67GHz). The small signal gain, peak power added efficiency and peak output power were recorded as 14.5dB, 25% and 17.3dBm, respectively.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.019
GPT teacher head0.214
Teacher spread0.195 · 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

Quick stats

Citations10
Published2017
Admission routes1
Has abstractyes

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