Rate Scheduling of Multimedia Streams over ParallelWireless Data Channels with Heterogeneous Reliability
Why this work is in the frame
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Bibliographic record
Abstract
A rate scheduling method for multimedia connections over parallel wireless channels with heterogeneous reliability is developed. Transmissions of different parts of a multimedia stream with different level of error tolerance over a wireless channel that support multiple links with heterogeneous reliability can improve the flexibility in resource allocation and increase the number of multimedia streams admitted by the system while satisfying the QoS requirement of each connection. To address this transmission scenario, we present and evaluate a novel dynamic resource-allocation method that decomposes the available resources into two sets of links, one with higher reliability (lower BER) than other, and allocates the links to the respective parts of each multimedia connection. We mathematically formulate a rate scheduling problem for the flexible transmission scenario and develop an efficient real-time resource allocation algorithm with a remarkably fast rate of convergence. Simulation results show that the proposed method improves: the number of multimedia connections by 1.25%-34.6% according to the error rate in wireless link; the average number of multimedia connections that experience errors per frame by 1%-70%for low rate connections and by 5%-14%for high rate connections
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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