A Selectivity Function Scheduler for IEEE 802.11e
Bibliographic record
Abstract
The IEEE 802.11e standard defines a reference scheduler that allocates transmission opportunities (TXOP) to traffic streams based on mean data rate and minimum physical rate. However, the reference scheduler is only efficient for streams with strict constant bit rate (CBR) characteristics. This paper presents a scheduling scheme named as the selectivity function scheduler (SFS) for the IEEE 802.11e hybrid coordination function (HCF) controlled channel access (HCCA). The SFS enhances the procedure of computing the number of variable sized packets by not only considering the new arrivals, but also accounting for the packets remaining in the queue due to channel conditions. SFS incorporates a selectivity function that assigns polling priorities to already admitted streams based on their actual requirements. The performance of the proposed SFS is evaluated and compared with the reference scheduler defined by the standard. Simulation results show that the SFS outperforms the standard scheduler in terms of enhancing streams throughput, reducing the packet dropping ratio, and maintaining high fairness among different traffic streams.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".