Improving end-to-end quality of services in 3G wireless networks by wireless early regulation of real-time flows
Bibliographic record
Abstract
In this paper, we propose to adapt the early regulation of unresponsive flows (ERUF) to third generation wireless networks employing link layer retransmissions. Wireless channel degradations may result in backlog of downlink packets at the link layer queue, causing real-time packets with hard delivery deadlines to expire and be dropped at the receiver. We propose to regulate these congested flows by dropping expiring packets at the ingress edge node of the general packet radio service (GPRS)/universal mobile telecommunication services (UMTS) core network to release shared network resources for other flows. Based on an analysis of the characteristics of the radio link control (RLC) layer of the GPRS/UMTS network, we develop a new set of mechanisms based on active queue management to achieve this goal. We present simulation results to show that this new wireless early regulation of unresponsive flows (WERUF) scheme can significantly improve the overall end-to-end quality-of-service of all traffic flows.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".