Statistical Evaluation of the Behavior of 5-GHz Radio LAN Devices
Bibliographic record
Abstract
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 downconvert the Wi-Fi frames to the baseband. The data captured by the USRP are used to extract the key medium access parameters of the commercial unit under test (UUT). Our measurement methodology involves a novel compliance metric based on the Kullback-Leibler distance between probability distributions. This metric is in the form of a single scalar, which will hence enable us to rank the UUTs based on their level of compliance. Furthermore, we develop a method based on the harmonized European Standard ETSI EN 301 893 to identify UUTs with noncompliant access mechanisms that tend to monopolize the wireless medium and UUTs for which compliance is an option that deviates from default settings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".