A performance study of roaming in wireless local area networks based on IEEE 802.11r
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Bibliographic record
Abstract
The wide deployment of IEEE 802.11 based wireless local area networks (WLANs), and increased interest in multimedia applications support in WLANs, have lead to the need to support real-time applications even when devices are roaming across WLAN access points (APs). This has lead to the development of the IEEE 802.11r fast roaming mechanism, in which a connection to a candidate AP is established before the loss of connectivity with the current one. In this paper, we study the performance of the IEEE 802.11r and its viability for real-time applications. Our simulation results demonstrate the flexibility of the IEEE 802.11r and the effectiveness of its roaming procedure. Also, a noticeable reduction in roaming time and delays at APs is shown to be achievable, which guarantees the required quality of service level of Voice over IP over WLAN (VoWLAN) applications.
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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 | 0.000 | 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 | 0.000 |
| 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