Dynamic Resource Management to Enhance Video Streaming Experience in a C-V2X Network
Bibliographic record
Abstract
3GPP has actively been working on vehicular communication standards for LTE and 5G New Radio (NR), making Cellular Vehicle-to-Everything (C-V2X) an emerging significant enabler for autonomous and connected intelligent transportation. Though 5G NR V2X is expected to offer the required low latency and high data rate to provision autonomous driving, scarce radio resources remain an issue for service providers. In this paper, we apply the cross-layer optimization for efficient resource allocation in a 5G NR based V2X network, which takes into account the application layer and the radio link layer of the protocol stack. The optimization aims at maximizing the perceived quality of the vehicular streamers that are either served by a V2N or a V2I link. Simulation results confirm that the proposed scheme provides improved user-perceived quality by observing average utility and video playout discontinuity.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".