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Record W2522155271 · doi:10.1109/spects.2016.7570506

Evaluation of capacity and power efficiency in millimeter-wave bands

2016· article· en· W2522155271 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 institutionsWestern University
Fundersnot available
KeywordsNon-line-of-sight propagationComputer scienceElectronic engineeringRadio spectrumEfficient energy useMonte Carlo methodSpectral efficiencyChannel capacityChannel (broadcasting)Extremely high frequencyWirelessTransmission (telecommunications)MicrowaveTelecommunicationsElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

Millimeter wave (mmWave) spectrum bands have been proposed for commercial wireless communications to relieve the spectrum crunch in the microwave band. The mmWave bands are being vigorously pursued for multiple gigabit data transmission. In this paper, channel models for line-of-sight (LOS) and non-line-ofsight (NLOS) links for specific mmWave frequency bands are presented and then used in the evaluation of green efficiency metrics, maximum achievable capacity, bits/s, and power efficiency, bits/s/Thermal Noise Energy Unit. These efficiency indexes are investigated and illustrated using Monte Carlo simulation as a function of signal to noise ratio, channel model parameters and transmitterreceiver separation distance. The results show that the mmWave bands provide better channel capacity; however, less energy efficiency is achieved.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score0.302

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 head0.055
GPT teacher head0.242
Teacher spread0.187 · 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

Citations16
Published2016
Admission routes1
Has abstractyes

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