Opportunistic QoS Enhanced Scheduler for Real-Time Traffic in Wireless Communication Systems
Why this work is in the frame
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Bibliographic record
Abstract
The task of a packet scheduler for real-time traffic is to ensure that packet arrivals satisfy certain quality of service (QoS) requirements. At the same time, it is necessary to make efficient use of the limited capacity of the time-varying wireless fading channel. These two requirements are often in conflict to each other. Most existing schedulers either concentrate on the effective use of the radio resource, or only focus on QoS provisioning. By introducing the concept of flexible time and urgent time period, we propose an opportunistic QoS enhanced scheduler (OQES) which tries to maximize system throughput by exploiting the time-varying channel by applying multi-user diversity as well as a "meets delay" requirement. To avoid wasting bandwidth, a simple proactive packet discarding mechanism has also been introduced to discard packets that are to be dropped. Simulation results show that OQES outperforms existing schedulers for realtime traffic.
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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 | 0.001 |
| 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 it