Dynamic resource allocation for video traffic over time-varying CDMA wireless channels
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
The next generation wireless networks need to support video traffic. A major challenge in video services over wireless networks is quality of service (QoS) provisioning. We propose a cross-layer protocol stack architecture for wireless video transmission. In the architecture, the application layer provides the link layer with video compression information. Using this information, a dynamic-weight generalized processor sharing (DWGPS) discipline is proposed for the link layer resource allocation, which is aimed at providing the application layer with strong protection to high priority traffic. The weights in DWGPS are selected based on an optimization problem. Over time-varying wireless channels, a multiuser diversity gain can be achieved without much modification to DWGPS. Simulation results demonstrate the effectiveness and efficiency of DWGPS.
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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 | 0.000 | 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 it