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Record W2129717888 · doi:10.1109/tap.2007.901992

Rigorous and Efficient Time-Domain Modeling of Electromagnetic Wave Propagation and Fading Statistics in Indoor Wireless Channels

2007· article· en· W2129717888 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 Transactions on Antennas and Propagation · 2007
Typearticle
Languageen
FieldEngineering
TopicMillimeter-Wave Propagation and Modeling
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFadingComputer scienceRay tracing (physics)WirelessChannel (broadcasting)Time domainRadio propagationElectronic engineeringWave propagationFinite-difference time-domain methodAcousticsAlgorithmTelecommunicationsPhysicsOpticsEngineering

Abstract

fetched live from OpenAlex

Conventional numerical electromagnetic methods are known to provide accurate means of characterizing wireless channel transfer functions. However, their practical utilization is hampered by their typically large computational cost compared to empirical, measurement-based or ray-tracing techniques. In this paper, a full-wave, time-domain technique, stemming from the spatial expansion of electromagnetic field components in smooth, spline-type basis functions, is shown to provide a rigorous, yet efficient tool for site-specific indoor channel modeling. Based on this method, wireless propagation across indoor channel geometries can be accurately characterized and signal fading statistics can be extracted. Numerical examples, indicating the significantly improved efficiency of the proposed approach, compared to the standard finite-difference time-domain method, are given. Moreover, important wave propagation effects on indoor channel performance, readily accounted for by our full-wave analysis, are demonstrated.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.714
Threshold uncertainty score0.737

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 head0.012
GPT teacher head0.211
Teacher spread0.199 · 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