MétaCan
Menu
Back to cohort
Record W1622035491 · doi:10.1109/icupc.1993.528349

Ray tracing for indoor radio channel estimation

2002· article· en· W1622035491 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMillimeter-Wave Propagation and Modeling
Canadian institutionsMcGill University
Fundersnot available
KeywordsTransmitterComputer scienceRay tracing (physics)Impulse (physics)Propagation delayRadio propagation modelWavefrontChannel (broadcasting)Path lossElectronic engineeringRadio propagationImpulse responseDelay spreadPosition (finance)Base stationMultipath propagationAcousticsTelecommunicationsEngineeringComputer networkOpticsPhysicsMathematicsWireless

Abstract

fetched live from OpenAlex

This paper describes the foundation for and implementation of a simple computer tool to evaluate the power/delay/carrier phase shift parameters of an indoor radio channel impulse response. The tool is based on a geometrical ray approximation of electromagnetic wavefronts. A graphic ray tracing technique is adapted to find all propagation paths within a three-dimensional scene between a user specified transmitter and receiver position. Each propagation path is characterized by a power/delay/phase vector. The set of all those vectors gives the site specific channel impulse response. Typical applications are for placement of base stations in Personal Communication Networks.

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: Methods · Consensus signal: none
Teacher disagreement score0.943
Threshold uncertainty score0.275

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 head0.036
GPT teacher head0.218
Teacher spread0.182 · 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

Citations13
Published2002
Admission routes1
Has abstractyes

Explore more

Same topicMillimeter-Wave Propagation and ModelingFrench-language works237,207