Distributed sender scheduling for multimedia transmission in wireless mobile peer-to-peer networks
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Bibliographic record
Abstract
Multi-source multimedia transmission is a popular architecture in wireless mobile peer-to-peer (P2P) networks. Most of previous work on wireless mobile P2P networks concentrates on the protocols and network structures, and consequently ignores the multiple senders scheduling problem. In this paper, we present a distributed algorithm for scheduling the multiple senders for multi-source transmission in wireless mobile P2P networks, which can maximize the data rate and minimize the power consumption. Specifically, we formulate the wireless mobile P2P network as a multi-armed bandit system. The optimal distributed sender scheduling policy can be found according to the Gittins indices of the senders. Extensive simulation examples illustrate the effectiveness of the proposed scheme. It is shown that the data rate and power consumption in the proposed scheme can be improved significantly compared to existing schemes.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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