Adaptive resource management for multimedia wireless networks
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper proposes an adaptive resource management scheme for multimedia services in a wireless network environment. The proposed scheme attempts to allocate the desired bandwidth to every multimedia connection originating in a cell or being handed off to the cell. In case of insufficient bandwidth and in order not to deny service to requesting connections, bandwidth adaptation is done. However, to improve upon the hand-off dropping probability, the proposed bandwidth adaptation algorithm has a provision for giving preference to hand-off calls over new calls. The scheme also ensures that the borrowed bandwidth is promptly returned to the degraded connections. Simulation results show that the proposed scheme outperforms the previous known schemes in terms of call dropping probability, call blocking probability and bandwidth utilization.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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 it