Threshold-Based Rate Control for Multimedia Transport over Markovian Wireless Channels
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, we examine source rate control (SRC) via multiple buffer thresholds over a Markovian wireless channel. In the SRC scheme, a multimedia source reduces its packet rate (thus degrading the encoding quality) gradually whenever the queue length exceeds certain thresholds. When the queue length drops below a specific threshold, the respective preset source rate is restored. The performance of this scheme is analyzed by defining a loss function of a source in the queueing system, which consists of packet dropping at the end of queue, the throughput degradation and the quality degradation by a source encoder. This function is evaluated by modeling the system as a level dependent M/G/l queue. Numerical examples are presented, which show that the loss function and average packet delay are minimized at an optimal rate reduction factor.
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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