A novel approach of service management in wireless mobile networks
Bibliographic record
Abstract
In wireless mobile environments, where resources are scarce, the basis for QoS provisioning is to control the admission of new and handoff subscriber services, to avoid future detriment perturbations of established connections. Most research efforts considered only the bandwidth of the wireless link to control the admission of new services. In addition, proposals for degrading and enhancing services only account for mobility. In this paper, we propose a novel approach for service admission and adaptation that considers, in addition to the station mobility, both bandwidth and error rate requirements as well as the possibility of multiple services per mobile station, while minimizing interference to neighbour cells as well as signalling overhead.When compared to other proposals in a simulated 3G cellular system, our admission control approach outperformed by 7% the equal priority and guard capacities schemes in terms of total number of accepted services in the cell, especially in high handoff and new call rates. Moreover, our adaptation scheme succeeded in improving the admission probability by a further 6% in indoor environments and 9% in outdoor environments.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".