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Record W2167201826 · doi:10.1109/csics.2008.34

A 94GHz SPST Switch in 65nm Bulk CMOS

2008· article· en· W2167201826 on OpenAlexafffund
Alexander Tomkins, P. Garcia, Sorin P. Voinigescu

Bibliographic record

VenueTechnical digest -- IEEE Compound Semiconductor Integrated Circuit Symposium · 2008
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTransceiverAttenuator (electronics)Insertion lossCMOSElectrical engineeringReturn lossExtremely high frequencyRF switchRadio frequencyElectronic engineeringMaterials scienceAttenuationComputer scienceEngineeringPhysicsTelecommunicationsAntenna (radio)Optics

Abstract

fetched live from OpenAlex

A 3-bit lumped SPST switch that operates from DC to greater than 94 GHz has been realized in 65 nm CMOS. At 94 GHz, it provides an insertion loss of 1.6 dB and an isolation of over 30 dB. Power-handling measurements of the switch at 60 GHz show no sign of input compression up to an equipment-limited input power of +9 dBm. The circuit was demonstrated as a digitally controlled variable attenuator and as a transmit-receive switch in an array of three 94 GHz transceivers. In the latter case, the on-chip loop-back of PA signals into the LNA in each individual transceiver is possible, enabling the production testing of mm-wave transceiver functionality at IF without the requirement for high-speed signal sources or probes. Measurements of the transmit-receive switch show a return-loss better than -8 dB from 58 to 94 GHz.

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 score0.003
Threshold uncertainty score0.010

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.032
GPT teacher head0.223
Teacher spread0.191 · 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

Citations39
Published2008
Admission routes2
Has abstractyes

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Same venueTechnical digest -- IEEE Compound Semiconductor Integrated Circuit SymposiumSame topicRadio Frequency Integrated Circuit DesignFrench-language works237,207