MétaCan
Menu
Back to cohort

Level of detail of the physical environment and its impact on propagation prediction for a 60-GHz fixed radio link

2021· article· en· W3160777945 on OpenAlexaffabout
C. Amaya, Marcel A. LeClair, Vincent Picard, Reza Chaharmir, Ming Li, Simon Perras

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMillimeter-Wave Propagation and Modeling
Canadian institutionsCommunications Research Centre Canada
Fundersnot available
KeywordsTransmitterDowntownCanyonMultipath propagationStreet canyonRay tracing (physics)Radio propagationLink (geometry)Computer scienceRadio Link ProtocolTelecommunicationsElectrical engineeringEngineeringWirelessGeographyComputer networkPhysicsChannel (broadcasting)OpticsCartography

Abstract

fetched live from OpenAlex

3D models that capture the characteristics of a physical environment in downtown Ottawa with three different levels of detail (LOD) have been developed. This paper investigates the impact of using different LODs of a downtown street canyon on multipath power predicted by ray tracing on a 60-GHz fixed radio link. The 60-GHz radios are equipped with high-gain directional antennas placed at street level below building rooftops. Results are produced and analyzed for two link configurations: with the transmitter and receiver placed on the same sidewalk of the street canyon and, with transmitter and receiver placed on opposite sidewalks.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score0.189

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 head0.047
GPT teacher head0.248
Teacher spread0.201 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2021
Admission routes2
Has abstractyes

Explore more

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