A Wi-Fi Simulation Model Which Supports Channel Scanning across Multiple Non-overlapping Channels in NS3
Why this work is in the frame
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Bibliographic record
Abstract
Multi-Channel Wi-Fi experiments are quickly becoming more common and relevant as Wi-Fi deployments have become extremely popular and dense in recent years. There are many simulation tools available for Wi-Fi simulation, but few are widely used, and some are not designed specifically with wireless in mind. In this paper, the NS3 environment is recognized as a promising tool for which for this type of work. Limitations in certain simulation scenarios are identified with respect to the existing NS3 wireless modules. A novel NS3 simulation module is proposed, which provides support for multi-channel Wi-Fi AP selection, so that user devices may scan several non-interfering channels and select the best AP according to IEEE 802.11 criteria. The simulation module presented is carefully studied, evaluated and validated, and is ready for use.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it