Multi-user scalable video transmission control in cognitive radio networks as a Markovian dynamic game
Why this work is in the frame
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Bibliographic record
Abstract
This paper considers the multi-user bit-rate and latency control of scalable video content in a cognitive radio multimedia network. We consider a cognitive radio network where multiple secondary users attempt to access a spectrum hole according to a predefined time division multiple access (TDMA) access rule based on the primary user activities, the channel quality and the transmission delay of each user. Scalable video rate and distortion models are used in formulating the problem as a switching control dynamic Markovian game. The video sources and channel behavior are modeled as independent Markov processes. However, the interaction between users is combined in the access rule thus resulting in a switching control game. We show that the proposed switching control game formulation results in an improvement in video quality over a myopic rate allocation scheme in video peak signal-to-noise ratio (PSNR).
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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