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Record W4399619297 · doi:10.1109/ojcas.2024.3414252

A 45Gb/s Analog Multi-Tone Receiver Utilizing a 6-Tap MIMO-FFE in 22nm FDSOI

2024· article· en· W4399619297 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Open Journal of Circuits and Systems · 2024
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsHuawei Technologies (Canada)University of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTone (literature)MIMOElectronic engineeringComputer scienceElectrical engineeringTelecommunicationsEngineeringArtChannel (broadcasting)

Abstract

fetched live from OpenAlex

This paper describes an analog multi-tone receiver capable of processing three data streams running at 15 Gb/s, one in baseband and two in quadrature over carriers at 15GHz, achieving an aggregate rate of 45Gb/s over a single physical channel. The receiver maximizes bandwidth efficiency by using orthogonal sub-channels and avoids the need for analog to digital converters by incorporating a mixedsignal MIMO equalizer that can mitigate inter-symbol interference and inter-carrier interference. The system is designed and laid out in a 22nm FDSOI technology. Post-layout simulations are employed to verify the effectiveness of the proposed architecture, demonstrating a raw BER of 10−5 over a channel with an insertion loss of 14dB at 28GHz is achieved. The complete system has an energy efficiency of 6.6pJ/bit and occupies an active area of 0.29 mm2.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.752
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.051
GPT teacher head0.305
Teacher spread0.254 · 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