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Record W7106583479 · doi:10.1109/tmtt.2025.3633423

Single-Chain Six-Port Transceiver Front End With Dual-in-Band Full-Duplex Capability

2025· article· W7106583479 on OpenAlexaff

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2025
Typearticle
Language
FieldEngineering
TopicFull-Duplex Wireless Communications
Canadian institutionsPolytechnique Montréal
FundersScience and Technology Development Fund
KeywordsTransceiverWirelessFront and back endsSpectral efficiencyOrthogonalityCircuit complexityLocal oscillatorCommunications system

Abstract

fetched live from OpenAlex

The increasing demand for high-speed wireless communication necessitates front ends that combine high spectral efficiency with multiband operation. Integrating in-band full-duplex (IBFD) and carrier aggregation (CA) technologies becomes crucial but is hindered by the complexity and cost of duplicating transmit and receive chains across bands. In this work, we present a single-chain six-port transceiver architecture enabling dual-in-band full-duplex (DIBFD) operation to eliminate replicated chains. By leveraging the common-mode (CM) and differential-mode (DM) orthogonality between transmitted and received signals in intermediate-frequency (IF) spectra, the design dramatically simplifies hardware and reduces local oscillator requirements. Calibration algorithms, combined with digital self-interference (SI) cancellation, are deployed to optimize performance. Compared to traditional solutions, this architecture achieves wide bandwidth, strong SI suppression, and dual-band operation with lower complexity and cost. This approach paves the way for more efficient multiband, full-duplex wireless systems critical for meeting future data-intensive communication demands.

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 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 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: Empirical
Teacher disagreement score0.425
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.010
GPT teacher head0.225
Teacher spread0.215 · 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 teacher head, not a consensus.

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
Published2025
Admission routes1
Has abstractyes

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