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Record W1600582841 · doi:10.1109/cwit.2015.7255167

Capacity of the millimeter wave underground mine channel

2015· article· en· W1600582841 on OpenAlexaff
Mohamad El Khaled, Paul Fortier, Mohamed Lassaad Ammari, Mohamed Haj Taieb

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMillimeter-Wave Propagation and Modeling
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsExtremely high frequencyChannel (broadcasting)TransmitterChannel capacityFrench hornMillimeterHorn antennaComputationComputer scienceAcousticsFeed hornElectronic engineeringTelecommunicationsDirectional antennaPhysicsEngineeringOpticsDipole antennaAntenna (radio)Slot antenna

Abstract

fetched live from OpenAlex

In this paper, we are interested in the capacity computations of an underground mine channel in the millimeter wave band. A model of the channel based on the power delay profile (PDP) between transmitter and receiver is obtained from the channel measurements in the CANMET mine at the 70 m level. The channel model is examined under two scenarios, namely horn-horn and horn-omni antennas, in a line of sight (LOS) situation. The channel model is used to compute the capacity for two polarizations, namely HH and VV. The channel capacity of the model is compared with the channel capacity computed using the frequency response. The results show the pertinence of the model for the two measurement scenarios and for both polarizations. Results show that the differences in antennas and their polarisation play an important role in the design of millimeter wave radio systems.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score0.220

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 head0.091
GPT teacher head0.219
Teacher spread0.128 · 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 designSimulation or modeling
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

Citations2
Published2015
Admission routes1
Has abstractyes

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