Hybrid Mode Radio Link Control for Efficient Video Transmission over 4GLTE Network
Bibliographic record
Abstract
Accessing video content on mobile devices has become widespread in recent years. The wireless network has to become content aware in order to offer enhanced quality of video service through efficient utilisation of the wireless spectrum. This paper proposes a scheme for end-to-end video transmission over Long Term Evolution (LTE) network. The network elements are made aware of the critical video frames that are transmitted through the network with the help of a field in Internet Protocol (IP) header which reduces the processing time. A new mode of operation called Hybrid Mode (HM) for Radio Link Control (RLC) of evolved NodeB (eNodeB) has been defined to ensure the reliable delivery of critical video frames which in turn increase the video quality. The simulation results with the proposed scheme show a 7% increase in received video quality in comparison to the legacy Unacknowledged Mode (UM) of RLC. The proposed scheme also removes the major jitter and provides a reduction in end-to-end delay by 99% when compared with the Acknowledged Mode (AM).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".