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Record W3013037394 · doi:10.1109/rws45077.2020.9050043

A 16-Element Phased-Array Transceiver in 130-nm SiGe BiCMOS for Fixed Wireless Access Covering the Full 57-71 GHz Band

2020· article· en· W3013037394 on OpenAlexaff
A. Tomkins, Eric Juntunen, A. W. P. Poon, Hamed Golestaneh, Hassan Shakoor, Grigori Temkine, Ghazal Nabovati, Nima Gilanpour, Austin Chen, Adrine Sargsyan, Nathan A. Smith, Asim Ali, Kim Law, Brad Lynch, C. Farnsworth, Alex Lau, Christopher J. Hansen, Nelson Costa, Atabak Rashidian, Marc Supinski, Keith Riley

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsPeraso Technologies (Canada)
Fundersnot available
KeywordsTransceiverTransmitterBiCMOSElectrical engineeringPhased arrayNoise figureWirelessBasebandPhysicsElectronic engineeringComputer scienceTelecommunicationsEngineeringCMOSAntenna (radio)AmplifierChannel (broadcasting)Transistor

Abstract

fetched live from OpenAlex

A 16-element phased-array transceiver covering the entire 57-71 GHz band of the IEEE 802.11ad standard is presented. The radio is implemented in a 130-nm SiGe BiCMOS technology. The packaged die is measured and results are given for the transmitter, receiver and PLL performances. The transmitter has a peak single-element OP1dBof 13.8 dBm, including SPDT and packaging losses. The receiver has a system noise figure between 6.3 and 7.6 dB. With all 16-elements active the transceiver consumes 9.8 W in TX mode (at P1dB) and 1.9 W in RX mode. Preliminary link tests showing 1.8 Gbps at over 700 m are reported.

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 score0.009

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 communication0.0000.000
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 head0.039
GPT teacher head0.251
Teacher spread0.212 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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