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Record W2086529844 · doi:10.1109/icuwb.2015.7324450

Experimental Evaluation of an OFDM Millimeter Wave System in an Underground Mine Channel Based on the IEEE802.15.3c Standard

2015· article· en· W2086529844 on OpenAlexaff
Mohamad El Khaled, Paul Fortier, Mohamed Lassaad Ammari

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMillimeter-Wave Propagation and Modeling
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsWidebandOrthogonal frequency-division multiplexingExtremely high frequencyCoherence bandwidthDirectivityElectronic engineeringDelay spreadBandwidth (computing)Horn antennaWirelessAcousticsChannel (broadcasting)Computer scienceAntenna (radio)EngineeringOpticsElectrical engineeringTelecommunicationsFadingPhysicsDirectional antennaSlot antenna

Abstract

fetched live from OpenAlex

In this paper, the time dispersion propagation measurements and the performance study of an OFDM system in a millimeter wave underground mine wideband wireless channel are addressed. Time dispersion and coherence bandwidth results are analyzed at both 40 m and 70 m levels of the mine. Different antenna configurations such as horn-horn and horn- omni in a line of sight (LOS) situation have been considered during the measurements. In contrast to conventional indoor millimetre wave channels, the channel in the underground mine is highly reflective, resulting in a rich scattering environment with significant RMS delay spread. Based on the obtained measurement results, the bit error rate (BER) performance is evaluated for a wideband orthogonal frequency division multiplexing (OFDM) system. Results show that the rough surface scattering, the directivity of the antenna and the gallery dimensions of the underground mine affect the performance of the system.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score0.477

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.123
GPT teacher head0.293
Teacher spread0.171 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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