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Record W2339095024 · doi:10.1109/tvlsi.2015.2488624

A 60-GHz Dual-Mode Distributed Active Transformer Power Amplifier in 65-nm CMOS

2015· article· en· W2339095024 on OpenAlexaff
Payam M. Farahabadi, Kambiz Moez

Bibliographic record

VenueIEEE Transactions on Very Large Scale Integration (VLSI) Systems · 2015
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCascodeAmplifierCMOSElectrical engineeringPower-added efficiencyPower bandwidthTransformerRF power amplifierPower gainElectronic engineeringMaterials scienceTopology (electrical circuits)EngineeringVoltage

Abstract

fetched live from OpenAlex

This paper presents a 60-GHz power amplifier (PA) fabricated in a 65-nm CMOS technology. The proposed PA utilizes a dual-mode amplification circuit topology to achieve a high level of output power and efficiency in a small die area. High-output power is achieved by combining class AB cascode stage with a conventional class A common source (CS) stage in a compact four-way differential distributed active transformer to increase the amplifier's power density. Driver stages consist of an enhanced cascode stage followed by a CS stage to achieve a high power (HP) gain. Fabricated in a 65-nm CMOS process, the maximum measured gain of the 60-GHz PA is 22 dB within a wide 3-dB bandwidth of 14 GHz. A maximum saturated output power of 19.7 dBm is measured in HP mode while consuming 430 mW over a 1.2 V core supply. In low-power (LP) mode of operation, the power gain of 20 dB and 19.7 dBm saturated power is measured at 60 GHz. The proposed dual-mode topology achieves an HP added efficiency of 25% and 19% in HP and LP modes, 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.

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: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

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)0.0020.001

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 head0.019
GPT teacher head0.242
Teacher spread0.224 · 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

Citations13
Published2015
Admission routes1
Has abstractyes

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