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Record W2095989823 · doi:10.1109/rfic.2008.4561518

170-GHz transceiver with on-chip antennas in SiGe technology

2008· article· en· W2095989823 on OpenAlexaff
E. Laskin, Kenneth Tang, K.H.K. Yau, P. Chevalier, A. Chantre, B. Sautreuil, Sorin P. Voinigescu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTransceiverAmplifierElectrical engineeringHeterojunction bipolar transistorTransmitterChipMonolithic microwave integrated circuitPhysicsOptoelectronicsCMOSEngineeringTransistorVoltageBipolar junction transistor

Abstract

fetched live from OpenAlex

A single-chip transceiver with on-die transmit and receive antennas, Rx and Tx amplifiers, 165-GHz oscillator and static frequency divider is reported in a SiGe HBT process with fT/fMAXof 270 GHz/340 GHz. This marks the highest frequency transceiver in silicon and the highest level of functional integration above 100 GHz in any semiconductor technology. The downconversion gain peaks at -5 dB and the transmit power is -5 dBm when measured at the transceiver pads. Both degrade by approximately 25 dB when measured above the antennas of the transceiver with on-die antennas. The experimental performance of dipole (with and without floating metal strips) and patch antennas is also investigated. The measured 15-dB gain of a standalone amplifier is centered at 170 GHz and remains higher than 10 dB from 160 GHz to 180 GHz while the saturated output power is 0 dBm at 165 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 score0.004
Threshold uncertainty score0.014

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.013
GPT teacher head0.182
Teacher spread0.169 · 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

Citations69
Published2008
Admission routes1
Has abstractyes

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