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Record W2741209660 · doi:10.1109/icc.2017.7997173

RF/Analog self-interference canceller for 2×2 MIMO full-duplex transceiver

2017· article· en· W2741209660 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFull-Duplex Wireless Communications
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAttenuator (electronics)TransceiverLinearityElectronic engineeringRadio frequencyMIMOBasebandElectrical engineeringComputer scienceEngineeringAttenuationPhysicsCMOSOpticsBeamforming

Abstract

fetched live from OpenAlex

This paper presents a compact, highly-linear RF/Analog self-interference canceller (SIC) for a 2×2 MIMO full-duplex (FD) transceiver to suppress the existing strong selfinterference (SI) at the receiver input in order to prevent the receiver from saturation. Linearity requirements of RF/Analog SIC, as well as corresponding variable attenuator and delay/phase module, are derived and a RF/Analog SIC with good linearity for high power transmission is proposed. A prototype with compact size is fabricated on a multilayer PCB for a 2×2 MIMO inband FD transceiver, and is implemented with highly-linear, custom-made tunable attenuator and delay/phase-shift module to suppress nonlinear distortion. The measurement results in anechoic-chamber reveal that this RF/Analog SIC prototype integrated with a dual-polarized antenna can provide over 80dB cancellation for +30dBm and 20MHz OFDM signal centered at 2.27GHz. Typical 34dBm OIP3 of the prototype is measured. The simulation with following digital canceller reveals a negligible SNR degradation of 0.3dB due to the nonlinear distortion of this prototype.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score0.791

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 science0.0010.000
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 head0.028
GPT teacher head0.260
Teacher spread0.232 · 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

Quick stats

Citations14
Published2017
Admission routes2
Has abstractyes

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