Fair resource allocation with statistical QoS support for multimedia traffic in a wideband CDMA cellular network
Bibliographic record
Abstract
A dynamic fair resource allocation scheme to efficiently support realtime and nonrealtime multimedia traffic with guaranteed statistical QoS in uplinks of wideband CDMA cellular networks is proposed. The scheme uses the generalized processor sharing (GPS) fair service discipline to allocate uplink channel resources, taking into account the characteristics of channel fading and inter-cell interference. For realtime traffic, the weight of each user is assigned according to a required delay bound. For nonrealtime traffic, the weight of each traffic flow is adjusted dynamically according to fading channel states and a statistical fairness bound requirement. The capacity gain achieved by the proposed dynamic-weight scheme is analyzed for different fairness bound requirements. Simulation results are presented to demonstrate the performance of the proposed dynamic-weight scheduling scheme in terms of radio resource utilization and guaranteed statistical QoS, in comparison with the conventional static-weight scheme.
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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 | 0.001 | 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 | 0.001 | 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".