An enhanced distributed channel access deficit round-robin (EDRR) access scheme for IEEE 802.11 wireless networks
Bibliographic record
Abstract
IEEE 802.11 wireless LAN is the most popular and most widely deployed Wi-Fi technology in the world. With the explosion in use of wireless networks comes the demand for them to support the latest technologies. Task group E of the 802.11 standard is working on a standard that adds quality of service enhancements in the 802.11 MAC layer by using traffic flows and prioritizing traffic according to what type of application it belongs to. There are, however, some weaknesses in the design that is currently being proposed by the 802.11 standards committee. In this paper, we propose enhancements to the IEEE 802.11 draft standard in an attempt to provide improved quality of service for all traffic priorities. Through our simulations we are able to show that we can do so without negatively affecting the performance of any of the wireless stations in the network or the traffic flows that they contain. Our results show that the proposed scheme provides an attractive and effective mechanism for enhancing the IEEE 802.11 standard.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.005 | 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".