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Record W2971065749 · doi:10.1109/spawc.2019.8815570

Compliance Evaluation of Wi-Fi™ Devices

2019· article· en· W2971065749 on OpenAlexaff
Ammar Alhosainy, Kareem M. Attiah, Ramy H. Gohary, Ioannis Lambadaris

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Networks and Protocols
Canadian institutionsCarleton University
Fundersnot available
KeywordsUniversal Software Radio PeripheralTestbedComputer scienceBasebandSoftware-defined radioWirelessKey (lock)SoftwareEmbedded systemComputer networkTelecommunicationsOperating systemBandwidth (computing)

Abstract

fetched live from OpenAlex

The goal of this paper is to develop an experimental hardware testbed for verifying the compliance of the medium access mechanism of commercially available Wi-Fi™ certified units with the IEEE 802.11 standard. The core of this testbed is based on a Universal Software Radio Peripheral (USRP), which is used to capture and down-convert the Wi-Fi frames to the baseband. The data captured by the USRP is used to extract the key medium access parameters of the commercial Unit Under Test (UUT). Our measurement methodology is based on the Harmonized European standard ETSI EN 301 893 to identify UUTs with non-compliant access mechanisms that tend to monopolize the wireless medium, and UUTs for which compliance is an option that deviates from default settings.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.347
Teacher spread0.255 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2019
Admission routes1
Has abstractyes

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