A Novel beacon-based collision-free channel access mechanism over IEEE 802.11 WLANs
Bibliographic record
Abstract
Development of a Medium Access Control (MAC) protocol that supports high throughput performance and quality of service (QoS) for real-time applications has become a major focus in WLAN research. IEEE 802.11 distributed coordination functions, (DCF/EDCA), provide contention-based distributed channel access for stations to share the wireless medium. However, performance of these mechanisms drops dramatically due to high collision probability and frame errors. In this paper, we propose an adaptive beacon-based collision-free MAC adaptation. The proposed scheme allows station to enter the collision-free state and reduces the number of idle slots regardless of the number of stations and their traffic types (saturated or unsaturated) on the medium. Simulation results indicate that proposed scheme dramatically enhances the overall throughput and supports QoS by reducing delay, jitter and dropping probability of frames.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".