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Record W2775509532 · doi:10.1109/tmtt.2017.2771457

Ultra-Broadband I/Q RF-DAC Transmitters

2017· article· en· W2775509532 on OpenAlex

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

VenueIEEE Transactions on Microwave Theory and Techniques · 2017
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTransmitterQuadrature amplitude modulationElectrical engineeringQAMCMOSElectronic engineeringPhase-shift keyingBandwidth (computing)EngineeringTelecommunicationsBit error rateChannel (broadcasting)

Abstract

fetched live from OpenAlex

An ultra-broadband I/Q RF-DAC digital wireless transmitter architecture is proposed for 5G terminals and base stations. Broadband 1-32-GHz and tuned 20-32-GHz 2×6-bit versions of the transmitter were designed and manufactured in a production 45-nm SOI CMOS technology. They feature a process-and-temperature invariant quadrature phase generator with less than 1.4° phase error from 1 to 32 GHz, and a series-stacked, gate-segmented 2×6-bit I/Q RF-DAC. The transistor-level schematics of each block, and novel series-differential inductors for broadband common-mode rejection and differential-mode bandwidth extension are described in detail. The tuned transmitter prototype with transformer-coupled output stage achieved 19.9-dBm output power with record data rates of up to 30 Gbit/s and 24.6-pJ/bit efficiency in the 20-32-GHz range using QPSK, 16-QAM, 32-QAM, and 64-QAM modulation formats. The measured output power of the broadband transmitter is 18.4 dBm and remains larger than 13 dBm from 1 to 32 GHz. On-die generation of 16-QAM, 32-QAM, and 64-QAM modulated carriers at data rates of up to 20, 15, and 6 Gbit/s, respectively, was demonstrated.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.915
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.012
GPT teacher head0.230
Teacher spread0.219 · 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