Adaptive video streaming in heterogeneous mobile networks
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
With increasing deployment of 3G/4G technologies and growing computing power of modern smartphones, video multicast over mobile networks is becoming very popular. Due to mobility and interference, the channel quality fluctuates frequently over time, making it challenging to deliver live streaming services to mobile devices. In this paper, we propose an adaptive video streaming system that delivers layered video content to mobile devices over wireless channels of different and fluctuating qualities. To this end, the proposed system employs a novel design to prepare the redundant coded blocks required for forward error correction. This design makes the system flexible to dynamic changes in loss rates with minimum coding overhead. Specifically, the employed coding scheme is empowered by a novel fine granular coefficient matrix that decreases the delay and the computational complexity of coding operations. Furthermore the simulation results show that the new system offers a flexible streaming service, decreases the computational cost of preparing the FEC codes, significantly decreases the video transmission delay, and finally conserves energy on mobile devices.
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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 | 0.001 | 0.001 |
| 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