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Record W2986108879 · doi:10.1109/lwc.2019.2952862

Antenna Array Gain and Capacity Improvements of Ultra-Wideband Millimeter Wave Systems Using a Novel Analog Architecture Design

2019· article· en· W2986108879 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 Wireless Communications Letters · 2019
Typearticle
Languageen
FieldEngineering
TopicMillimeter-Wave Propagation and Modeling
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsArray gainComputer scienceWidebandElectronic engineeringAntenna gainAntenna arrayUSableCommunications systemBandwidth (computing)Antenna (radio)TelecommunicationsDipole antennaEngineeringAntenna aperture

Abstract

fetched live from OpenAlex

In this letter, we address the issue of beam-squinting encountered in ultra-wideband millimeter wave mobile communication systems. First, the beam-squinting effects on the antenna array gain and the usable bandwidth of these systems are analyzed. The obtained results show that, in ultra-wideband communication systems, beam-squinting causes loss in array gain and limits the achievable capacity. To mitigate these effects, a new analog architecture design, that improves the array gain and the achievable capacity, is proposed. The proposed architecture is most suitable for delay-sensitive or computational power constrained applications and does not require the computation of any compensation matrix in the digital domain. In addition, the exact expression for the array gain of the proposed analog architecture is derived. To further simplify the evaluation of the system performance, an approximated closed-form expression for the array gain is derived. Furthermore, to evaluate the performance of the proposed design, rigorous numerical results concerning different system parameters are provided in this letter.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.523
Threshold uncertainty score0.872

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 head0.058
GPT teacher head0.234
Teacher spread0.176 · 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