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Experimental Coverage Measurements on a Commercial 5G Network in the 28 GHz mm-Wave Band

2023· article· en· W4390494158 on OpenAlexaboutno aff
Javier Enrique Arévalo Peña, Ariel Eleazar Nuñez Lobos, Cesar Augusto Azurdia Meza, J. L. Araque Quijano, Jorge Arenas

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMillimeter-Wave Propagation and Modeling
Canadian institutionsnot available
FundersUniversidad Nacional de Colombia
KeywordsNon-line-of-sight propagationExtremely high frequencyRadio propagationLine-of-sightTelecommunicationsCellular networkComputer sciencePath lossBase stationRadio spectrumElectrical engineeringRemote sensingEnvironmental scienceEngineeringAerospace engineeringGeographyWireless

Abstract

fetched live from OpenAlex

This paper presents the coverage measurements and path loss results of a 5G indoor and outdoor signal within the 5G Laboratory located in the Department of Electrical Engineering of the University of Chile. An Ericsson AIR 5121 antenna and commercial base station that is in a fixed position inside the laboratory and a 5G router equipment (5G NR mmWave Mobile Hotspot) are used to perform measurements in the 28 GHz frequency band. Both Line of Sight (LoS) indoor and Non-Line of Sight (NLoS) scenarios were considered within the laboratory and in a hall next to the it and Line of Sight (LoS) outdoor the laboratory. The measurement results show acceptable data rates in DL and UL, however a deviation of 20 dB to 30 dB with respect to the 3GPP TR 38.901, METIS and NYU model. These results are expected to be important to review the coverage behavior of a commercial 5G network at the 28 GHz band millimeter wave frequency.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.343
Threshold uncertainty score0.353

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 head0.111
GPT teacher head0.271
Teacher spread0.160 · 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
Published2023
Admission routes1
Has abstractyes

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