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Record W1498522461 · doi:10.1049/cp.2012.0364

Spectral occupancy of fixed and mobile allocations within the high frequency band

2012· article· en· W1498522461 on OpenAlexaffabout
D.I. Warner, S. Bantseev, N. Serinken

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Line Communications and Noise
Canadian institutionsCommunications Research Centre CanadaDepartment of National Defence
Fundersnot available
KeywordsBandwidth (computing)WidebandRadio spectrumDelay spreadChannel (broadcasting)Frequency bandRangingComputer scienceOccupancyTelecommunicationsCenter frequencyElectronic engineeringEngineeringMultipath propagationBand-pass filter

Abstract

fetched live from OpenAlex

Power levels in the High Frequency (HF) band from 3 to 30 MHz were measured to determine channel occupancy statistics including patterns in time and frequency. Congestion in Canadian spectrum allocations for fixed and mobile users and patterns in the ambient radio noise power across the HF band were examined. A receiver site was set up in Ottawa, Canada using a spectrum analyzer and an omni-directional, horizontally polarized antenna having an elevation pattern optimized for reception of signals arriving via sky wave propagation. Diurnal and random fluctuations in channel occupancy, congestion, and noise measurements were observed and sample data plots for fixed and mobile allocations were presented and discussed. The availability of unoccupied channels in bandwidth increments of 3, 12, and 24 kHz for each 1 MHz frequency range is discussed and may be used to inform future assignments for fixed and land mobile services in the Canadian Table of Frequency Allocations. Hourly variations in channel occupancy show that there are ample spans of contiguous unoccupied spectrum to support channel bandwidths up to 24 kHz during most hours of the day; however, during the most congested times, even 3 kHz contiguous channels are not available in the frequency ranges that are optimal for propagation. These results suggest that spectrum availability in the region can support the use of wideband HF modems; however, the optimal modulation bandwidth will vary according to the time of day and the number of channels required.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.148

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 head0.011
GPT teacher head0.228
Teacher spread0.217 · 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 designObservational
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

Citations9
Published2012
Admission routes2
Has abstractyes

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