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Record W2292983933 · doi:10.1109/esscirc.2015.7313899

A 6x-oversampling 10GS/s 60GHz polar transmitter with 15.3% average PA efficiency in 40nm CMOS

2015· article· en· W2292983933 on OpenAlexaff
Khaled Khalaf, Vojkan Vidojković, John R. Long, Piet Wambacq

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsOversamplingCMOSTransmitterBandwidth (computing)Electrical engineeringElectrical efficiencyPhysicsElectronic engineeringComputer scienceTelecommunicationsPower (physics)EngineeringChannel (broadcasting)

Abstract

fetched live from OpenAlex

A polar TX based on a 10GSample/s RF-DAC aimed at 802.11ad applications realizes more than 30dB alias attenuation and exceeds 3GHz input bandwidth with 6x oversampling factor. The PA drain efficiency is 29.8% with a Psatof 10.8dBm. Average TX output power is 5.3dBm with 15.3% PA efficiency running QPSK at 3.3Gb/s datarate and -23.6dB EVM. Corresponding 16-QAM values are: 3.6dBm with 11.6% at 6.7Gb/s and -18.1dB EVM. The 0.18mm2TX core in 40nm bulk-CMOS consumes 40.2mW from 0.9V.

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 score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.004

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 head0.018
GPT teacher head0.199
Teacher spread0.182 · 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

Citations9
Published2015
Admission routes1
Has abstractyes

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